Awesome Stars

A curated list of my GitHub stars! Generated by starred.

Contents

• Arc
• Assembly
• Batchfile
• BitBake
• C
• C#
• C++
• CMake
• CSS
• Common Lisp
• Cuda
• Cython
• D
• Dockerfile
• EJS
• Fortran
• GLSL
• Go
• HTML
• Java
• JavaScript
• Jupyter Notebook
• KiCad Layout
• Kotlin
• LLVM
• Lua
• MATLAB
• MLIR
• Makefile
• Markdown
• Mojo
• Objective-C
• OpenEdge ABL
• Others
• PHP
• Perl
• PowerShell
• Prolog
• PureBasic
• Python
• R
• Roff
• Rust
• Scala
• ShaderLab
• Shell
• Smarty
• Starlark
• Svelte
• Swift
• SystemVerilog
• Tcl
• TeX
• TypeScript
• Typst
• Vala
• Verilog
• Vue

Arc

• YonoHub/YonohubDemos -

Assembly

• espressif/esp-dl - Espressif deep-learning library for AIoT applications

Batchfile

• peterjc123/pytorch-scripts - A few Windows specific scripts for PyTorch
• Shicoder/Meshlab-MLXScriptBatchProcessing - Batch Processing MLX scripts(批量处理meshlab的脚本)

BitBake

• ros/meta-ros - OpenEmbedded Layers for ROS 1 and ROS 2
• renesas-rz/meta-rz-edge-ai-demo - RZ Edge AI Demo Yocto Layer
• renesas-rz/meta-renesas-ai-demos - This repository is EOL. Please use https://github.com/renesas-rz/meta-rz-edge-ai-demo instead.

C

• netdata/netdata - Architected for speed. Automated for easy. Monitoring and troubleshooting, transformed!
• firmianay/CTF-All-In-One - CTF竞赛权威指南
• obsproject/obs-studio - OBS Studio - Free and open source software for live streaming and screen recording
• kevin2431/Traj-LO - [RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
• xiaohulugo/VanishingPointDetection - 2-Line Exhaustive Searching for Real-Time Vanishing Point Estimation in Manhattan World
• YaoQ/yolov5-face-RK3588 - RK3588 Debian11环境下实现yolov5-face的推理实现，包括Python和C++实现。主要依赖RKNPU2 SDK和rknn_toolkit_lite2
• Embedfire/nmealib -
• lakinduakash/linux-wifi-hotspot - Feature-rich wifi hotspot creator for Linux which provides both GUI and command-line interface. It is also able to create a hotspot using the same wifi card which is connected to an AP already ( Simil
• ZainZh/sunriseX3_yolov8 - 地平线horizon开发板部署工具
• Dao-AILab/fast-hadamard-transform - Fast Hadamard transform in CUDA, with a PyTorch interface
• WiringPi/WiringPi - The arguably fastest GPIO Library for the Raspberry Pi
• flowdriveai/flowpilot - flow-pilot is an openpilot based driver assistance system that runs on linux, windows and android powered machines.
• onlyet/BetaVideoMonitorClient - A video monitoring client based on Qt and FFmpeg.（基于Qt+FFmpeg的视频监控软件）
• leafqycc/rknn-cpp-Multithreading - A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
• compuphase/minIni - A small and portable INI file library with read/write support
• yukkysaito/autoware_perception -
• Water-Melon/Melon - A generic cross-platform C library that includes many commonly used components and frameworks, and a new scripting language interpreter. It currently supports C99 and Aspect-Oriented Programming (AOP)
• pocoproject/poco - The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems.
• GreyZhang/g_s32k144 - learning records about S32K144 MCU (FreeRTOS, UART, CAN, SPI, PIT, FreeMaster, RTC, GPS, DMA, WatchDog、J1939、UDS、XCP、CCP)
• cnlohr/mini-rv32ima - A tiny C header-only risc-v emulator.
• Simple-XX/SimpleKernel - Simple kernel for learning operating systems. 用于学习操作系统的简单内核
• qaiu/c4droid-code - C4droid代码实例 C/C++代码实例/教程
• TsingWei/stm32_iot_light_sensor - 使用CubeMX(HAL)，STM32+ESP8266+BH1750 通过MQTT协议实现的智能街灯（模拟）
• TalkUHulk/ai.deploy.box - A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM | StableDiffusion
• Niyunfeng/PID - 增量式PID算法C语言实现
• OpenXiangShan/NEMU -
• nnstreamer/nnstreamer-example - Example applications of nnstreamer. Note that we have to enable the 'apptest" CI module in the near future.
• Caesar-github/gstreamer-rockchip - The Gstreamer hardware encoder/decoder plugins for Rockchip platform
• BedRockJie/Rockchip_camera_encoder_Networkput -
• kirushyk/gst-instruments - Easy-to-use profiler for GStreamer
• karpathy/llama2.c - Inference Llama 2 in one file of pure C
• NVIDIA/cuda-samples - Samples for CUDA Developers which demonstrates features in CUDA Toolkit
• danginsburg/opengles3-book - OpenGL ES 3.0 Programming Guide Sample Code
• Kurento/libnice - GLib based Interactive Connectivity Establishment (ICE) implementation (RFC 5245)
• ptitSeb/box86 - Box86 - Linux Userspace x86 Emulator with a twist, targeted at ARM Linux devices
• KhronosGroup/Vulkan-Loader - Vulkan Loader
• ARM-software/vulkan-sdk - Github repository for the Vulkan SDK
• Caesar-github/libmali - libmali for rockchip
• mpv-player/mpv - 🎥 Command line video player
• jjm2473/ffmpeg-rk - 支持rockchip mpp硬件加速编解码的ffmpeg版本。Forked ffmpeg that supports rkmpp decodeing, encoding and rga scaling
• lovelyyoshino/ROS-ROS2-BOOKS - 从ROS1到ROS2无人机编程实战指南
• NVIDIA-AI-IOT/deepstream_tao_apps - Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
• NVIDIA-AI-IOT/deepstream-occupancy-analytics - This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to bu
• umlaeute/v4l2loopback - v4l2-loopback device
• airockchip/librga -
• KhronosGroup/OpenCL-Headers - Khronos OpenCL-Headers
• rockchip-linux/u-boot - U-Boot tree for pending commits
• iliasam/OpenSimpleLidar - Open Source scanning laser rangefinder
• linux-can/socketcand - Server to access CAN sockets over ASCII protocol
• monsiw/object-detection-yolo - The project aims to use a trained model in the YOLO network to detect objects that will be detected by the robot structure with a computer on which ROS has been installed. ROS manages the individual p
• fenwii/OpenHarmony - 华为鸿蒙分布式操作系统（Huawei HarmonyOS，纯血鸿蒙Harmony Next ），开源鸿蒙分布式操作系统（ OpenHarmony）开发技术交流，最全鸿蒙技术资料库，手册，指南，共建国产操作系统万物互联新生态。
• CANopenNode/CANopenLinux - CANopenNode on Linux devices
• QQxiaoming/quard_star_tutorial - This project aims to build an Embedded Linux System, in order to analyze the chip from the power-on execution of the first instruction to the entire system running, based on qemu simulator development
• CANopenNode/CANopenNode - CANopen protocol stack
• zombieCraig/uds-server - CAN UDS Simulator and Fuzzer
• craigpeacock/CAN-Examples - Example C code for CAN Sockets on Linux
• zombieCraig/ICSim - Instrument Cluster Simulator
• mit-han-lab/tinyengine - [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256K
• MUZLATAN/ffmpeg_rtsp_mpp - ffmpeg 拉取rtsp h264流， 使用mpp解码， 目前在firefly 板子上跑通了
• rockchip-linux/mpp - Media Process Platform (MPP) module
• littlebearsama/xxCu3Dlibrary - cuda 加速3D点云算法库，持续更新（含cudaicp，glfw点云可视化等）
• linux-can/can-utils - Linux-CAN / SocketCAN user space applications
• energystoryhhl/LinuxCanbusTool - Linux下can总线的接收发送功能，实现读取dbc后对报文进行解析与打包，进而发送和接收；实现实时记录can信息功能，保存格式为.csv；实现数据库功能，可以将can数据保存至数据库
• terence-deng/mt7601u - Ralink Wireless Adapter Driver
• Anthony96922/mt7601u-ap - AP driver for MT7601U dongles
• RushOnline/mt7601u - Fixed mt7601u driver 2022 tested with kernel 5.15
• nxp-auto-linux/sja1105x - sja1105x kernel module for Auto BSP
• muratdemirtas/MT7601u - Ubuntu and Embedded Linux(Raspberry Pi, Banana Pi etc.) drivers for MediaTek MT7601u Wireless Chipset. Support Access Point(AP) and Station Mode(STA). Tested on 32-64 Bit Ubuntu and Raspberry Pi 2 wit
• intel/ARM_NEON_2_x86_SSE - The platform independent header allowing to compile any C/C++ code containing ARM NEON intrinsic functions for x86 target systems using SIMD up to AVX2 intrinsic functions
• zhaojh329/rtty - 🐛 Access your terminal from anywhere via the web.
• eclipse-paho/paho.mqtt.c - An Eclipse Paho C client library for MQTT for Windows, Linux and MacOS. API documentation: https://eclipse-paho.github.io/paho.mqtt.c/
• Nrusher/nr_micro_shell - shell for MCU. 单片机命令行交互。
• util-linux/util-linux -
• xiph/opus - Modern audio compression for the internet.
• jacksonliam/mjpg-streamer - Fork of http://sourceforge.net/projects/mjpg-streamer/
• qemu/qemu - Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
• mirror/busybox - BusyBox mirror
• Francklin2/RTKLIB_Touchscreen_GUI - RTKLIB GUI for Raspberry Pi with touchscreen made with Qt by the ENSG students
• tomojitakasu/RTKLIB -
• airockchip/rknn_model_zoo -
• rockchip-linux/rknn-toolkit2 -
• rockchip-linux/rknpu2 -
• flame/how-to-optimize-gemm -
• sp4cerat/Fast-Quadric-Mesh-Simplification - Mesh triangle reduction using quadrics
• libuvc/libuvc - a cross-platform library for USB video devices
• pupil-labs/libuvc - a cross-platform library for USB video devices
• autoas/as - automotive software(OSEK & AUTOSAR) and its tool-chain
• autoas/ssas-public - Simple AUTOSAR Basic Software
• armink/FreeModbus_Slave-Master-RTT-STM32 - Add master mode to FreeModbus. | 在 FreeModbus 中添加主机模式
• avem-labs/Avem - 🚁 轻量级无人机飞控-[Drone]-[STM32]-[PID]-[BLDC]
• lvgl/lvgl - Embedded graphics library to create beautiful UIs for any MCU, MPU and display type.
• k0suke-murakami/autoware_perception -
• lz4/lz4 - Extremely Fast Compression algorithm
• unicap/unicap - unicap provides a uniform interface to video capture devices.
• jeremycw/httpserver.h - Single header library for writing non-blocking HTTP servers in C
• qhull/qhull - Qhull development for www.qhull.org -- Qhull 2020.2 (8.1-alpha1) at https://github.com/qhull/qhull/wiki
• li1024316925/FFmpeg-RTMP-PushStream - 使用FFmpeg做一个简单的推流
• 1244975831/RtmpPlayerDemo - FFMPEG库进行Rtmp流的解析并显示
• EasyDarwin/EasyPlayer-RTSP-Win - An free, elegant, simple, fast windows RTSP Player.EasyPlayer support RTSP(RTP over TCP/UDP),video support H.264/H.265,audio support G.711/G.726/AAC！EasyPlayer RTSP是一款免费精炼、高效、稳定的RTSP流媒体播放器，视频支持H.264/H
• freeeyes/ffmpeg4_camera_to_rtmp - ffmpeg4 camera to rtmp stream
• RT-Thread/rt-thread - RT-Thread is an open source IoT Real-Time Operating System (RTOS).
• openwrt/openwrt - This repository is a mirror of https://git.openwrt.org/openwrt/openwrt.git It is for reference only and is not active for check-ins. We will continue to accept Pull Requests here. They will be merged
• vseasky/riscv-k210 - K210 PCB YOLO
• zhen8838/K210_Yolo_framework - Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !
• csehydrogen/Winograd-OpenCL - Winograd-based convolution implementation in OpenCL
• openpilot/OpenPilot - OpenPilot Github Mirror
• vedderb/bldc - The VESC motor control firmware
• dog-qiuqiu/Yolo-Fastest - ⚡ Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and
• google/XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
• nxp-mcuxpresso/mcux-sdk-examples - MCUXpresso SDK Examples
• AlexeyAB/darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
• GStreamer/gstreamer - GStreamer open-source multimedia framework
• pytorch/QNNPACK - Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
• Maratyszcza/NNPACK - Acceleration package for neural networks on multi-core CPUs
• VeriSilicon/TIM-VX - VeriSilicon Tensor Interface Module
• Derekduke/facemask_detect - 基于C++使用华为MindSpore Lite实现口罩检测算法的端侧部署，使用Tensorflow Lite的Python接口在上位机做了模型验证
• hgpvision/darknet - darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析
• pjreddie/darknet - Convolutional Neural Networks
• BBuf/Darknet - AlexeyAB-DarkNet源码解析
• ChenCVer/darknet - Darknet(AB版)框架源码解析：详尽的中文注释(逐句)和原理分析！
• kraiskil/onnx2c - Open Neural Network Exchange to C compiler.
• SiliconLabs/mltk - A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms
• micropython/micropython - MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
• dut-media-lab/Image-Stitching - Leveraging Line-point Consistence to Preserve Structures for Wide Parallax Image Stitching
• NVIDIA/open-gpu-kernel-modules - NVIDIA Linux open GPU kernel module source
• DaveGamble/cJSON - Ultralightweight JSON parser in ANSI C
• jishnujayakumar/MV-Tractus - A simple tool to extract motion vectors from h264 encoded videos.
• stevengj/nlopt - library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
• OpenMathLib/OpenBLAS - OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
• the-tcpdump-group/tcpdump - the TCPdump network dissector
• Syllo/nvtop - GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
• xunbing/3DScanner - 三维扫描相关算法，包括多频外差相位求解、相机标定、点云后处理、点云可视化等相关算法
• npat-efault/picocom - Minimal dumb-terminal emulation program
• KhronosGroup/OpenVX-sample-impl - OpenVX sample implementation
• shliang0603/Yolov4_DeepSocial - 基于Yolov4的行人检测、行人距离估计、多目标跟踪系统
• applefishsky009/pointpillars - pointpillars C implement
• ZJU-FAST-Lab/forces_resilient_planner - External Forces Resilient Safe Motion Planning for Quadrotor
• wszqkzqk/deepin-wine-ubuntu - Deepin Wine for Ubuntu/Debian
• Forceflow/trimesh2 - C++ library and set of utilities for input, output, and basic manipulation of 3D triangle meshes
• zuoqing1988/ZQCNN - 一款推理框架，同时有很多有用的demo，觉得好用请点星啊
• ScanNet/ScanNet -
• areslp/matlab -
• ShiftMediaProject/gmp - Unofficial GMP with added custom native Visual Studio project build tools. GMP: GMP is a free library for arbitrary precision arithmetic, operating on signed integers, rational numbers, and floating-p
• karimnaaji/voxelizer - Header only mesh voxelizer in c99

C#

• ZhouZijie77/Unity-PointCloud-Navigation - 使用Unity开发的显示点云及通过点云地图生成可通行区域并使用A*算法进行路径规划移动端应用程序。
• Code52/carnac - A utility to give some insight into how you use your keyboard
• zhaopeiym/IoTClient - This is an IoT device communication protocol implementation client, which will include common industrial communication protocols such as mainstream PLC communication reading, ModBus protocol, and Bacn
• kendryte/nncase - Open deep learning compiler stack for Kendryte AI accelerators ✨
• kendryte/kendryte-flash-windows - Kendryte flash utility for Windows
• microsoft/onnxruntime-training-examples - Examples for using ONNX Runtime for model training.
• MathewSachin/Captura - Capture Screen, Audio, Cursor, Mouse Clicks and Keystrokes
• udacity/self-driving-car-sim - A self-driving car simulator built with Unity
• acgessler/open3mod - Open 3D Model Viewer - A quick and powerful 3D model viewer
• sinairv/PdfRenamer - A program that renames PDF articles based on their title, author, publication year, and the publisher; therefore the file-names would become more search friendly

C++

• ShiPC-AI/TCF - [RAL 2024] RANSAC Back to SOTA: A Two-Stage Consensus Filtering for Real-Time 3D Registration
• aleksi-kangas/ets2-lane-detection - Lane detection in Euro Truck Simulator 2 using Ultra-Fast-Lane-Detection V1 & V2
• Melody-Zhou/tensorRT_Pro-YOLOv8 - This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
• microsoft/T-MAC - Low-bit LLM inference on CPU with lookup table
• uzh-rpg/rl_vo - Repository relating to "Reinforcement Learning Meets Visual Odometry" (ECCV, 2024).
• ctu-mrs/pacnav - This repository contains the TMUX scripts to run the Gazebo simulations and real-world experiments for the paper entitled "PACNav: A Communication and External Localization Free Collective Swarm of UA
• sz3/libcimbar - Optimized implementation for color-icon-matrix barcodes
• tiev-tongji/LIMOT - A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.
• TUMFTM/ORB_SLAM3_RGBL - RGB-L: An Extension to Integrate LiDAR Data into ORB-SLAM3
• PRBonn/MapClosures - Effectively Detecting Loop Closures using Point Cloud Density Maps
• luigifreda/plvs - PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.
• XiaoBaiiiiii/colmap-pcd - Image-to-point cloud Registration Tool
• YJZLuckyBoy/liorf - This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
• GREAT-WHU/RoadLib - A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.
• Nothand0212/LightGlue-OnnxRunner-cpp - a light glue onnx runner example
• AIDajiangtang/Superpoint-LightGlue-Image-Stiching - Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm
• OroChippw/LightGlue-OnnxRunner - LightGlue-OnnxRunner is a repository hosts the C++ inference code of LightGlue in ONNX format，supporting end-to-end/decouple model inference of SuperPoint/DISK + LightGlue
• SteveMacenski/slam_toolbox - Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
• city-super/Scaffold-GS - [CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
• city-super/Octree-GS - Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
• yutongwangBIT/GOReloc -
• MOLAorg/mola - A Modular Optimization framework for Localization and mApping (MOLA)
• mirage-project/mirage - Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA
• ashishkumar822/Jetson-SLAM - A high Speed GPU accelerated SLAM for Low Powered Devices, IEEE- RAL-2023, ICRA 2024
• NetEase-Media/grps - 【深度学习模型部署框架】支持tf/torch/trt/trtllm/vllm以及更多nn框架，支持dynamic batching、streaming模式，支持python/c++双语言，可限制，可拓展，高性能。帮助用户快速地将模型部署到线上，并通过http/rpc接口方式提供服务。
• NetEase-Media/grps_trtllm - 【grps接入trtllm】通过GPRS+TensorRT-LLM+Tokenizers.cpp实现纯C++版高性能OpenAI LLM服务，支持chat和function call模式，支持ai agent，支持分布式多卡推理，支持多模态，支持gradio聊天界面。
• tumic0/GPXSee - GPS log file viewer and analyzer with support for GPX, TCX, KML, FIT, IGC, NMEA, SLF, SML, LOC, GPI, GeoJSON and OziExplorer files.
• jhescobar05/simple_ros_client_application - A desktop application using the Qt framework to publish messages over a websocket connection to utilize ROS service and pub/sub functionality. The published messages can control the movements a ROS to
• boyang9602/LiDARLocRobustness - Replication package for "Evaluating and Improving the Robustness of LiDAR-based Localization and Mapping".
• RozDavid/LOL - LOL: Lidar-only Odometry and Localization in 3D point cloud maps
• wh200720041/intensity_slam - Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment RA-L 2021
• AIS-Bonn/lidar_mars_registration -
• PRBonn/kiss-icp - A LiDAR odometry pipeline that just works
• zm0612/funny_lidar_slam - A real-time multifunctional Lidar SLAM package.
• enpeizhao/duck_db - c/c++ build a simple b+tree RDMS（利用c/c++ 开发基于B+树的小型关系型数据库 ）
• AutoLidarPerception/tracking_lib - Tracking objects obtaining from segmentor and improve segmentation. https://github.com/LidarPerception/segmenters_lib
• AutoLidarPerception/object_builders_lib - Object Orientation Corrected Bounding Box Fit for Point Cloud Clusters.
• HopeCollector/clbrl - 标定 多线/单线激光雷达 和 旋转电机
• Clothooo/lvt2calib - A unified calibration for 3D LiDARs, visual cameras and thermal cameras
• liangheming/VoxelMapPlus_FASTLIO2 - FAST-LIO 2 with VoxelMapPlus and STD
• qgis/QGIS - QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
• SLAMWang/fasterGICP - an improvement of fast_gicp
• yuhaozhang7/NGD-SLAM - NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU.
• sair-lab/AirSLAM - 🚀 AirVO upgrades to AirSLAM 🚀
• gisbi-kim/SC-A-LOAM - Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
• ZikangYuan/sr_lio - [IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency
• ZikangYuan/dynamic_lio - A LiDAR-inertial odometry for dynamic environments.
• xiihoo/Books_Robot_SLAM_Navigation - This project is supporting code for the book of Robot SLAM Navigation Core Technology and the Actual Combat.
• AnswerDotAI/gpu.cpp - A lightweight library for portable low-level GPU computation using WebGPU.
• raaslab/3D_bridge_meshes - Creating 3D meshes with UAVs. This project aims to combine 3D mesh construction using fundamantle practices with infrastructure inspection using novel navigation methods.
• raaslab/GATSBI -
• SHU3DVision/SmartEye - 深度、点云图像的实时显示
• KwanWaiPang/RGBD-GS-ICP-SLAM-Comment - RGBD GS-ICP SLAM的中文注释版
• Lab-of-AI-and-Robotics/GS_ICP_SLAM - [ECCV 2024] RGBD GS-ICP SLAM
• SJTU-IPADS/PowerInfer - High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
• GuijiAI/duix.ai -
• hku-mars/btc_descriptor -
• hku-mars/D-Map - D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.
• mavlink/qgroundcontrol - Cross-platform ground control station for drones (Android, iOS, Mac OS, Linux, Windows)
• facontidavide/PlotJuggler - The Time Series Visualization Tool that you deserve.
• homalozoa/ros2_for_beginners_code - Code for the book "ROS 2 Programming - Based on Modern C++ and Python 3" 《ROS 2机器人编程实战——基于现代C++和Python 3》配套代码及相关内容维护
• electech6/ORB_SLAM2_detailed_comments - Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
• Dovyski/cvui - A (very) simple UI lib built on top of OpenCV drawing primitives
• laugh12321/TensorRT-YOLO - TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
• daniel89710/lightNet-TRT - LightNet-TRT is a high-efficiency and real-time implementation of convolutional neural networks (CNNs) using Edge AI.
• SYSU-STAR/H2-Mapping - H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation (2023 RAL Best Paper Award)
• ethz-asl/COIN-LIO - 🪙 COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry (ICRA 2024)
• rvp-group/mad-icp - Minimal, robust, accurate and real-time LiDAR odometry
• Unsigned-Long/slam-tricks - small, powerful and beautiful slam tricks with theory and practice
• Serial-Studio/Serial-Studio - Flexible data visualization software for embedded devices and projects
• HRex39/Newton-M2-Ros-Driver - 星网宇达Newton M2 Ros Package解析GPFPD与GTIMU程序
• OSGeo/PROJ - PROJ - Cartographic Projections and Coordinate Transformations Library
• RoboMaster/RoboRTS - An open source software stack for Real-Time Strategy research on mobile robots
• sustech-isus/byd_dataset_ws -
• ZJU-FAST-Lab/Fast-Drone-250 - hardware and software design of the 250mm autonomous drone
• NEU-REAL/REAL_DRONE_400 - An open source Drone Suite for Aerial Robot
• KTH-RPL/dufomap - [RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping
• tum-vision/fastfusion - Volumetric 3D Mapping in Real-Time on a CPU
• PengYu-Team/DCL-SLAM - A ROS package of DCL-SLAM: Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm.
• PengYu-Team/Co-LRIO - A ROS2 package of CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms.
• dianhsu/swin-transformer-cpp - Swin Transformer C++ Implementation
• YuePanEdward/LLS-LOAM - Lidar Odometry and Mapping with Mutiple Metrics Linear Least Square ICP
• YuePanEdward/MULLS - MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
• ChaoqinRobotics/LINS---LiDAR-inertial-SLAM - A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
• NVIDIA-ISAAC-ROS/isaac_ros_dnn_inference - NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU
• NVIDIA-ISAAC-ROS/isaac_ros_object_detection - NVIDIA-accelerated, deep learned model support for image space object detection
• qdLMF/LIO-SAM-GPU-ScanToMapOpt - A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.
• NVIDIA-ISAAC-ROS/isaac_ros_nitros - NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages
• haotiangu/LeGO_LOAM_OUSTER_64 - Lidar odometry is an effective navigation technique for robot localization when a robot does not have access to GPS. A robot's motion is estimated by solving for the translation and rotation across co
• ros-drivers/ros2_ouster_drivers - ROS2 Drivers for the Ouster OS-0, OS-1, and OS-2 Lidars
• minwoo0611/IA_LIO_SAM - IA-LIO-SAM is enhanced LIO-SAM using Intensity and Ambient channel from OUSTER LiDAR.
• wh200720041/floam - Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
• HKUST-Aerial-Robotics/FIESTA - Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
• snape/AVO2 - Reciprocal Collision Avoidance with Acceleration-Velocity Obstacles (C++)
• clydemcqueen/orca3 - ROS2 AUV based on the BlueRobotics BlueROV2 and Navigation2
• clydemcqueen/orca4 - ROS2 AUV based on the BlueROV2, ArduSub and Navigation2
• clydemcqueen/orca - ROV and AUV based on the BlueRobotics BlueROV2
• PathPlanning/ORCA-algorithm - Implementation of ORCA algorithm
• Osovey/rvo-ros-wrapper - rvo2的ros noetic版本封装
• snape/RVO2 - Optimal Reciprocal Collision Avoidance (C++)
• hanruihua/rvo_ros - The ros package of rvo library
• AutoRally/autorally - Software for the AutoRally platform
• EdwardLiuyc/StaticMapping - Use LiDAR to map the static world
• nkliuhui/selected_roi_points_publisher - 从RVIZ点云中选取ROI的点云并自动发布一帧sensor_msg::PointCloud2消息
• Gutsgwh1997/CIL-SLAM - An unfinished camera-imu-lidar tightly coupled simultaneous localization and mapping system.
• nkliuhui/sync_gps_lidar_imu_cam - lidar-imu-cam-GPS时间戳硬件同步方案
• Livox-SDK/livox_relocalization - A relocalization package for Livox LiDARs.
• engcang/SLAM-application - LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and com
• laxnpander/OpenREALM - OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.
• jedeschaud/ct_icp - CT-ICP: Continuous-Time LiDAR Odometry
• facontidavide/rosbag_editor - Create a rosbag from a given one, using a simple GUI
• nmwsharp/polyscope - A C++ & Python viewer for 3D data like meshes and point clouds
• SlamMate/Universal-outdoor-indoor-dynamic-vSLAM-based-on-pre-trained-models - This repository contains the open-source code for the paper "Semantic SLAM for mobile robots in dynamic environments based on visual camera sensors" by Qi Zhang and Changdi Li, published in the Measur
• gaowenliang/imu_utils - A ROS package tool to analyze the IMU performance.
• MegviiRobot/CamLaserCalibraTool - Extrinsic Calibration of a Camera and 2d Laser
• tier4/CalibrationTools - sensor calibration tools for autonomous driving and robotics
• Taeyoung96/GRIL-Calib - [RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
• beltransen/velo2cam_calibration - Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.
• GAfieldCN/automatic-camera-pointcloud-calibration - Automatic Calibration for Camera and Solid-state LiDAR (Livox)
• hku-mars/livox_camera_calib - This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
• chennuo0125-HIT/lidar_imu_calib - automatic calibration of 3D lidar and IMU extrinsics
• Livox-SDK/Livox_automatic_calibration - An automatic calibration algorithm for livox LiDAR
• ISEE-Technology/CamVox - [ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
• borglab/gtsam - GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matr
• hku-mars/VoxelMap - [RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry
• introlab/rtabmap_ros - RTAB-Map's ROS package.
• introlab/rtabmap - RTAB-Map library and standalone application
• vectr-ucla/direct_lidar_odometry - [IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
• PRBonn/vdbfusion_ros - ROS1 Wrapper for VDBFusion https://github.com/PRBonn/vdbfusion
• PRBonn/vdbfusion - C++/Python Sparse Volumetric TSDF Fusion
• KennyWGH/efficient_online_segmentation - Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。
• makendi19841/Parking-Slot-Detection-3D-LiDar-Raw-Ping -
• cshang412/BEV_parkingSlot - process parking slots detected on Bev image, generate the parking slots on the world coordinate.
• lewisjiang/contour-context - [ICRA'23] Official code repo for "Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation"
• RainerKuemmerle/g2o - g2o: A General Framework for Graph Optimization
• ppwwyyxx/OpenPano - Automatic Panorama Stitching From Scratch
• KumarRobotics/sloam - Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)
• lilin-hitcrt/SSC - Semantic Scan Context
• flanggut/smvs - Shading-aware Multi-view Stereo
• pmoulon/CMVS-PMVS - This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used t
• simonfuhrmann/mve - Multi-View Environment
• cdcseacave/openMVS - open Multi-View Stereo reconstruction library
• publicsite/COLMAP-OpenMVS-Pipeline - A CPU 3D Reconstruction pipeline using COLMAP and OpenMVS
• colmap/colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
• ethan-li-coding/PatchMatchStereo - PatchMatchStereo，倾斜窗口经典，效果极佳，OpenMVS&Colmap稠密匹配算法。完整实现，代码规范，注释清晰，博客教学，欢迎star！
• koide3/hdl_localization - Real-time 3D localization using a (velodyne) 3D LIDAR
• koide3/interactive_slam - Interactive Map Correction for 3D Graph SLAM
• koide3/ndt_omp - Multi-threaded and SSE friendly NDT algorithm
• danini/graph-cut-ransac - The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thec
• mujiubai/SC2-PCR-CPP - SC2-PCR c++ version
• zhangxy0517/3D-Registration-with-Maximal-Cliques - Source code of CVPR 2023 paper
• koide3/small_gicp - Efficient and parallel algorithms for point cloud registration [C++, Python]
• xiaohulugo/VanishingPointDetection_BSD2 - Vanishing point detection given line segments in BSD2 license
• HKUST-Aerial-Robotics/Fast-Planner - A Robust and Efficient Trajectory Planner for Quadrotors
• TIERS/tiers-lidars-dataset - Multi-modal multi-lidar dataset
• ZJU-FAST-Lab/EGO-Planner-v2 - Swarm Playground, the codebase of the paper "Swarm of micro flying robots in the wild"
• ZJU-FAST-Lab/ego-planner -
• ManiiXu/VINS-Mono-Learning - VINS-Mono代码注释，仅供学习
• rpng/open_vins - An open source platform for visual-inertial navigation research.
• HKUST-Aerial-Robotics/VINS-Fusion - An optimization-based multi-sensor state estimator
• liangheming/VoxelMap_LIO_SAM - FASTLIO2 based on Voxel Map
• ai-winter/ros_motion_planning - Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu
• ai-winter/ros_motion_planning_visualizer - A Rviz Plugin used in path visualization and curve generation, which is helpful for qualitative experiments on path planning and curve optimization.
• zhudongwork/SAM_TensorRT - This is the code to implement Segment Anything (SAM) using TensorRT(C++).
• xiangli0608/Learning_localization_from_scratch_ws -
• fishros/transforms3d_cpp - 基于Eigen实现的机器人位姿转换库
• zhujun3753/i-octree - [ICRA2024] Implementation of A Fast, Lightweight, and Dynamic Octree for Proximity Search
• nwesem/mtcnn_facenet_cpp_tensorRT - Face Recognition on NVIDIA Jetson (Nano) using TensorRT
• chengwei0427/Lidar_IMU_Localization - Lidar-IMU Localization System with Prior Map Constraint and Lio Constraint
• libLAS/libLAS - C++ library and programs for reading and writing ASPRS LAS format with LiDAR data
• yzrobot/adaptive_clustering - [ROS package] Lightweight and Accurate Point Cloud Clustering
• fishros/LeGO-LOAM-ROS2 - 支持ROS2 Humble版本的LeGO-LOAM
• joaofaro/KCFcpp - C++ Implementation of KCF Tracker
• marty1885/paroli - Streaming TTS based on Piper with optional RK3588 NPU support
• EEPT-LAB/DipG-Seg - The official implementation of DipG-Seg.
• Charmve/CppMaster - C++ Master Learning Roadmap, especially for AIoT and C++ advanced SWE
• BigWide/xwgi5651 - 星网宇达组合导航SDK程序
• alex-hjm/cloudtool - A 3D point cloud processing software base on PCL and QT.
• spacewalk01/tensorrt-yolov9 - Cpp and python implementation of YOLOv9 using TensorRT API
• LinhanDai/yolov9-tensorrt - YOLOv9 Tensorrt deployment acceleration，provide two implementation methods: C++and Python🔥🔥🔥
• triple-Mu/YOLOv8-TensorRT - YOLOv8 using TensorRT accelerate !
• hpc203/Ultra-Fast-Lane-Detection-v2-opencv-onnxrun - 分别使用OpenCV、ONNXRuntime部署Ultra-Fast-Lane-Detection-v2车道线检测，包含C++和Python两种版本的程序
• hpc203/nighttime_dehaze-onnxrun - 使用onnxruntime部署夜间雾霾图像的可见度增强，包含C++和Python两个版本的程序
• hpc203/Real-Time-Frame-Interpolation-onnxrun - 使用onnxruntime部署实时视频帧插值，包含C++和Python两个版本的程序
• YungeCui/LinK3D - [RA-L] LinK3D: Linear Keypoint Representation for 3D LiDAR Point Cloud
• wjwwood/serial - Cross-platform, Serial Port library written in C++
• berndpfrommer/basalt_ros2 - ROS2 wrapper for Basalt VIO
• OpenSLAM-org/openslam_gmapping - GMapping Repository from OpenSLAM.org
• Livox-SDK/livox_mapping - A mapping package for Livox LiDARs
• PJLab-ADG/Livox-Mapping - An all-in-one and ready-to-use LiDAR-inertial odometry system for Livox LiDAR
• haocaichao/S-LOAM - S-LOAM(Simple LOAM) 是一种简单易学的激光SLAM算法，整个程序只有几百行代码，十分方便学习与试验分析。
• gogojjh/M-LOAM - Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
• hyye/lio-mapping - Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
• YukunXia/VLOAM-CMU-16833 - CMU 16-833 "Robot Localization and Mapping" Course Project
• HKUST-Aerial-Robotics/A-LOAM - Advanced implementation of LOAM
• xieqi1/a-loam-noted -
• TixiaoShan/LVI-SAM - LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
• xieqi1/lio-sam-noted -
• xieqi1/VINS-Fusion-noted -
• xieqi1/VINS-Mono-noted - detailed chinese notes for vins-mono
• Oreoluwa-Se/Lidar-Imu-Slam - Slam Algorithm to combine Lidar and Imu sensors to localize and generate a map of the environment. A combination of ICP and Kalman Filtering process is used in the odometry phase and Non-Linear optimi
• hku-mars/joint-lidar-camera-calib - Joint intrinsic and extrinsic LiDAR-camera calibration.
• hku-mars/LiDAR_IMU_Init - [IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
• gaoxiang12/faster-lio - Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
• gisbi-kim/SC-LIO-SAM - LiDAR-inertial SLAM: Scan Context + LIO-SAM
• smilefacehh/LIO-SAM-DetailedNote - LIO-SAM源码详细注释，3D SLAM融合激光、IMU、GPS
• valbok/QtAVPlayer - Free and open-source Qt Media Player library based on FFmpeg, for Linux, Windows, macOS, iOS and Android.
• sherlockchou86/VideoPipe - A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )
• dragonpilot-community/dragonpilot - dragonpilot - 基於 openpilot 的開源駕駛輔助系統
• kyou2016/ROS_LaneDetectionWithBEV - Use Ros, Wecar lane Detection and Yolo Object Detection(Bus Stop) with my friends
• MaybeShewill-CV/MNN-LaneNet - Lane detection model for mobile device via MNN project
• DataXujing/lanenet-tensorrt - 🔥 🔥 🔥 车道线检测Lanenet TensorRT加速C++实现
• Wolfwjs/GANet - A Keypoint-based Global Association Network for Lane Detection. Accepted by CVPR 2022
• ChenZjut/ROS_LaneATT -
• wep21/CUDA-TransFusion -
• CYYAI/AiInfer -
• yhwang-hub/dl_model_infer - 🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yolov8-seg, yolov8-pose, yolov8-obb, yolox, RTDETR, DETR, depth-anyth
• fpeanut/Pointpillar_tensorrt - pointpillar mmdeteion3d model Tensorrt deployment, improved and faster
• rand0md00r/centerpoint_detector_ros -
• wayyeah/PointPillarTensorRT-ROS - PointPillar with TensorRT and ROS 1 for Visualization
• Chengjun-Xie/PointPillars-OpenCL - 3D Point Cloud detection network PointPillars based on OpenCL and OpenVINO. Perfect for Intel devices
• cqu20160901/DETR_tensorRT_Cplusplus - DETR tensorRT C++部署。
• cqu20160901/yolov8_tensorRT_Cplusplus - yolov8 tensorRT 的 C++部署。
• linClubs/Calibration-Is-All-You-Need - calibration is you need including camera、imu、camera2camera、 camera2lidar、imu2camera、imu2lidar.
• linClubs/YOLOv8-ROS-TensorRT - YOLOv8-ROS-TensorRT-CPP detect, segment & pose including ros1 & ros2.
• linClubs/BEVDet-ROS-TensorRT - BEVDet online real-time inference using CUDA, TensorRT, ROS1 & C++.
• hku-mars/M-detector -
• aristocratos/btop - A monitor of resources
• EZreal-zhangxing/rk_ffmpeg - 在rockchip3588上实现用ffmpeg进行推拉流，其中推拉流使用硬件加速编解码
• AMXZzzz/SF_TRT_62 - AI自瞄项目，支持yolov5,yolov7,yolov8,yolox ，使用tensorrt和DML
• pcb9382/FaceAlgorithm - face detection face recognition包含人脸检测(retinaface,yolov5face,yolov7face,yolov8face),人脸检测跟踪(ByteTracker)，人脸角度计算（Face_Angle）人脸矫正(Face_Aligner)，人脸识别(Arcface)，口罩检测(MaskRecognitiion)，年龄性别检测(Gender_age)，静默
• url-kaist/TRAVEL - Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans
• suyunzzz/Ground-Plane-Fitting -
• suyunzzz/ray_filter_ground -
• speedzjy/lidar_curb_detection - 3D Lidar Curb Dectection implementation in ROS
• jhu-lcsr/handeye_calib_camodocal - Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and k
• probonopd/linuxdeployqt - Makes Linux applications self-contained by copying in the libraries and plugins that the application uses, and optionally generates an AppImage. Can be used for Qt and other applications
• autowarefoundation/autoware.universe -
• Green-bms/SmartBMS - Open source Smart Battery Management System
• l-sf/Track-trt - 基于 TensorRT 的 C++ 高性能单目标跟踪推理，支持算法OSTrack、LightTrack。
• yangjiaolong/Go-ICP - Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration
• isl-org/FastGlobalRegistration - Fast Global Registration
• ethz-asl/voxblox - A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
• norlab-ulaval/libpointmatcher - An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
• norlab-ulaval/libnabo - A fast K Nearest Neighbor library for low-dimensional spaces
• nmellado/Super4PCS - Efficient Global Point-cloud registration
• huihut/interview - 📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, inclu
• zhangpanyi/a-star-algorithm - C++实现的高效A*算法
• YuYuCong/Astar - 机器人路径规划A*算法
• l-sf/Linfer - 基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。
• shenlan2017/Apollo_ShenLan -
• ramitix/Car_lane_sign_detection -
• AutoHotkey/AutoHotkey - AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.
• MRwangmaomao/semantic_slam_nav_ros - 针对带有RGBD相机的服务机器人，物流机器人等。具有：语义地图构建、定位导航、三维重构、重定位、动态物体识别、移动避障、手势识别、人脸识别、语音合成与识别等功能
• Tencent/libco - libco is a coroutine library which is widely used in wechat back-end service. It has been running on tens of thousands of machines since 2013.
• ossrs/state-threads - Lightweight thread library for C/C++ coroutine (similar to goroutine), for high performance network servers.
• yyzybb537/libgo - Go-style concurrency in C++11
• YukangLiu/netco - A lightweight c++11 symetric coroutine library which can be used for network programming.
• ericniebler/range-v3 - Range library for C++14/17/20, basis for C++20's std::ranges
• gabime/spdlog - Fast C++ logging library.
• fmtlib/fmt - A modern formatting library
• grpc/grpc - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
• catchorg/Catch2 - A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
• Cambricon/easydk - easy development kit
• szieke/ScriptCommunicator_serial-terminal - Scriptable cross-platform data terminal which supports: serial port, UDP, TCP, SPI, I2C and CAN.
• APRIL-ZJU/OA-LICalib - [TRO 2022] Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems
• APRIL-ZJU/lidar_IMU_calib - [IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
• DayBreak-u/chineseocr_lite - 超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
• senlinzhan/dpool - 使用 C++11 实现的动态线程池
• torchpipe/torchpipe - Serving Inside Pytorch
• jfu222/h264_video_decoder_demo - H264裸码流视频解码器
• NVIDIA/TensorRT-LLM - TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficientl
• yiningzeng/hikvision-darknet-demo - 海康威视相机+yolov3 实现实时检测demo
• CodingHanYa/workspace - workspace是基于C++11的轻量级异步执行框架，支持：通用任务异步并发执行、优先级任务调度、自适应动态线程池、高效静态线程池、异常处理机制等。
• facebook/folly - An open-source C++ library developed and used at Facebook.
• sogou/workflow - C++ Parallel Computing and Asynchronous Networking Framework
• progschj/ThreadPool - A simple C++11 Thread Pool implementation
• ChunelFeng/CThreadPool - 【A simple used C++ threadpool】一个简单好用，性能优异的，跨平台的C++线程池。欢迎 star & fork
• linghu8812/yolov5_fastreid_deepsort_tensorrt -
• Dao-zhi/MultiCameraTargetTracking - 基于TLD算法和GOTURN算法的多摄像头目标跟踪
• pytorch/executorch - On-device AI across mobile, embedded and edge for PyTorch
• beltransen/lidar_bev - A ROS package for LiDAR's Bird's Eye View projection.
• orbbec/OrbbecSDK_ROS2 - OrbbecSDK ROS2 wrapper
• Hectoor/Ffmpeg_ros_image_trans - This demo can help you receive rtmp stream,and transmit images through ROS
• JokerEyeAdas/AdasSourrondView - The C++ code demo for surround view of car
• yanx27/JS3C-Net - Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
• aljosaosep/ciwt - This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.
• SonginCV/MAF_HDA - An official implementation of the MAF_HDA Tracker
• wangzhaode/mnn-llm - llm deploy project based mnn.
• li-plus/chatglm.cpp - C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4(V)
• ChunelFeng/CGraph - 【A common used C++ DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流
• onnx/optimizer - Actively maintained ONNX Optimizer
• Ar-Ray-code/YOLOX-ROS - YOLOX + ROS2 object detection package (C++ only support)
• Alpaca-zip/ultralytics_ros - ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
• luigifreda/slamplay - slamplay is a collection of powerful tools to start playing and experimenting with SLAM in C++
• fzi-forschungszentrum-informatik/Lanelet2 - Map handling framework for automated driving
• zbz96/lidar_centerpoint -
• Tream733/centerpoint-livox - CenterPoint model trained on livox dataset, and deployed with TensorRT on ros2
• newintelligence4/Adaptive-ROI-for-Lidar - Adaptive Lidar Preprocessing
• newintelligence4/BEVfusion_preprocess - Multiple Lidar preprocessor for BEVfusion
• HorizonRDK/parking_perception -
• HorizonRDK/elevation_net -
• HorizonRDK/mono3d_indoor_detection -
• HorizonRDK/hobot_bev - TROS Bev Node package
• HorizonRDK/hobot_llm -
• HorizonRDK/hobot_centerpoint -
• Vertical-Beach/ByteTrack-cpp - C++ implementation of ByteTrack that does not include an object detection algorithm.
• gyjun0230/wgs_conversions - A ROS server implementation of the World Geodetic System (WGS) conversion functions for converting to/from LLA, ENU, and ECEF.
• Qengineering/YoloV5-NPU - YoloV5 NPU for the RK3566/68/88
• hpc203/picodet-onnxruntime - 使用ONNXRuntime部署PicoDet目标检测，包含C++和Python两个版本的程序
• Qengineering/PP-PicoDet-ncnn-Jeston-Nano - PP-PicoDet for Jetson Nano
• miemie2013/miemienet - miemienet is a C++ AI deep learning inference framework.Supports PPYOLOE、PICODET.
• nndeploy/nndeploy - nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础，致力为用户提供跨平台、简单易用、高性能的模型部署体验。
• LeatherWang/slam_car - ros upper computer for vslam diff driver car
• engcang/tkdnn-ros - (ROS) YOLOv3, v4, v7 detection + Shelfnet semantic segmentation with TensorRT, utilizing tkDNN
• ceccocats/tkDNN - Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms
• dinglufe/segment-anything-cpp-wrapper -
• AIDajiangtang/Segment-Anything-CPP - segment anything（SAM） for CPP Inference
• PRBonn/rangenet_lib - Inference module for RangeNet++ (milioto2019iros, chen2019iros)
• hpc203/M-LSD-onnxrun-cpp-py - 使用ONNXRuntime部署面向轻量实时的M-LSD直线检测，包含C++和Python两个版本的程序
• hpc203/Detic-onnxrun-cpp-py - 使用ONNXRuntime部署Detic检测2万1千种类别的物体，包含C++和Python两个版本的程序
• shaoshengsong/DeepSORT - support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++
• i-v-s/strong-sort-cpp - C++ implementation of the paper "StrongSORT: Make DeepSORT Great Again"
• viplix3/BoTSORT-cpp - C++ implementation of BoT-SORT MOT algorithm with Re-ID and Camera Motion Compensation
• Postroggy/OC_SORT_CPP - [CVPR 2024] OC-SORT implemented in C++ with Eigen Library, Plus a Android Demo Apk
• Toxiang/centertrack-tensorrt - 将centertrack部署到tensorrt上
• jingyue202205/DSVT-AI-TRT - DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detection(top1),waymo pedestrian 3D Object Detection(top1)
• xieincz/YOLOv5_ByteTrack_Multithreading_TensorRT - Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT 进行推理加速
• gaoxiang12/slam_in_autonomous_driving - 《自动驾驶中的SLAM技术》对应开源代码
• uestc-icsp/VoxelMapPlus_Public - Voxelmap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry
• MISTLab/Intensity_based_LiDAR_SLAM - Real-Time Simultaneous Localization and Mapping with LiDAR intensity
• ggerganov/ggml - Tensor library for machine learning
• OpenCalib/SurroundCameraCalib -
• StephenYang190/rangenet_lib - Rangenet lib in TensorRT8
• XUANTIE-RV/open_source_ISP -
• ros2/message_filters -
• ANYbotics/grid_map - Universal grid map library for mobile robotic mapping
• LittleRain626/rknn_yolov5_3588_bytetrack -
• nnstreamer/nntrainer - NNtrainer is Software Framework for Training Neural Network Models on Devices.
• nnstreamer/nnstreamer - 🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
• jolibrain/deepdetect - Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
• sophgo/ChatGLM2-TPU - run ChatGLM2-6B in BM1684X
• Xrvitd/GCNO - Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).
• ztxz16/fastllm - 纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llama, moss基座，手机端流畅运行
• MegEngine/InferLLM - a lightweight LLM model inference framework
• SJSU-AD/FusionAD - An open source autonomous driving stack by San Jose State University Autonomous Driving Team
• IntelRealSense/librealsense - Intel® RealSense™ SDK
• aceraoc/rockchip_rtsp_h264_decode - 使用ffmpeg、rkmpp、opencv实现了香橙派Pi5平台的硬件编码
• BedRockJie/rockchip-rga-sample - 使用Rockchip-RGA硬件加速实现图像处理的小例子
• jjw-DL/An-All-Terrain-Visual-Positioning-and-Landing-System-for-UAV-Based-on-ROS-System - 一种基于ROS系统的无人机全地形视觉定位着陆系统
• jjw-DL/Model_Deployment - 深度学习模型部署基础
• NVIDIA/video-sdk-samples - Samples demonstrating how to use various APIs of NVIDIA Video Codec SDK
• Doctor-James/Mask_Detector - 本项目可以检测人是否佩戴口罩，若佩戴则输出绿框，未佩戴则输出红框; 本项目基于yolov5，部署通过TensorRT加速，帧率可达200FPS
• openvino-dev-samples/decode-infer-on-GPU - This sample shows how to use the oneAPI Video Processing Library (oneVPL) to perform a single and multi-source video decode and preprocess and inference using OpenVINO to show the device surface shari
• AutoLidarPerception/segmenters_lib - The LiDAR segmenters library, for segmentation-based detection.
• OuyangJunyuan/PCAT-Ground-Optimized -
• Qjizhi/TensorRT-CenterNet-3D - tensorrt5, centernet, 3d detection, kitti, centerface, deform conv, int8,
• google/googletest - GoogleTest - Google Testing and Mocking Framework
• Crescent-Ao/GGHL-Deployment - 旋转框检测的推理与计算
• NVIDIA-AI-IOT/NVIDIA-Optical-Character-Detection-and-Recognition-Solution - This repository provides optical character detection and recognition solution optimized on Nvidia devices.
• zjucsxxd/VideoStitch-1 -
• JDAI-CV/dabnn - dabnn is an accelerated binary neural networks inference framework for mobile platform
• alibaba/BladeDISC - BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
• LCH1238/bevdet-tensorrt-cpp - BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin
• HMX2013/FCC-ROS - A ROS implementation of "Real-Time Fast Channel Clustering for LiDAR Point Cloud"
• KIT-MRT/pointcloud_surface - Ground surface estimation algorithms based on point clouds.
• deep-practice/FastBEV-TensorRT -
• koide3/direct_visual_lidar_calibration - A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
• OpenCalib/CalibAnything -
• cisco/openh264 - Open Source H.264 Codec
• w111liang222/LSD-Nvidia-Libs -
• w111liang222/lidar-slam-detection - LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
• rgaufman/live555 - A mirror of the live555 source code.
• Z-Xiong/LightTrack-ncnn - Ncnn version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
• nvpro-samples/vk_video_samples - Vulkan video samples
• openMVG/openMVG - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
• zhuyuliang/gst_rtsp_client - gstreamer rtsp client support rockchip and jetson nx for C/C++ Python
• OpenHD/OpenHD - OpenHD
• hpc203/FreeYOLO-opencv-onnxrun-cpp-py - 分别使用OpenCV、ONNXRuntime部署FreeYOLO目标检测，总共包含143个onnx模型，有COCO目标检测，人脸检测，密集行人检测的三种检测功能，依然是包含C++和Python两个版本的程序
• ARM-software/armnn - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
• nihui/opencv-mobile - The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, HarmonyOS, WebAssembly, watchOS, tvOS, visionOS
• liushuan/MNN-MTCNN-CPU-OPENCL - MNN MTCNN C++
• intel/fpga-runtime-for-opencl - Intel® FPGA Runtime for OpenCL™ Software Technology
• michel-meneses/great-opencl-examples - Collection of easy, well-documented and useful OpenCL examples in C++.
• tiev-tongji/VoxelGridOMP - voxel grid in parallel, using the OpenMP standard, based on PCL.
• Livox-SDK/livox_apollo_driver - Livox driver for apollo
• Livox-SDK/horizon_highway_slam - Horizon_Highway_Slam Demo in Docker
• IENT/YUView - The Free and Open Source Cross Platform YUV Viewer with an advanced analytics toolset
• rigaya/NVEnc - NVENCによる高速エンコードの性能実験
• rigaya/rkmppenc - Rockchip系SoCのHWエンコーダ(rkmpp)の性能実験
• JiweiMaster/MobileDetBenchmark - Mobile Detection Benchmark
• zeal-up/Simple-LIO-SAM - Code for simplified LIO-SAM
• m-schuetz/CudaLOD -
• autoexpect/rknn_ffmpeg_tutorial - ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering
• hailo-ai/tappas - High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
• OuyangJunyuan/pointcloud-3d-detector-tensorrt - The first tensorrt implementation for point-based 3d detector, i.e., 3DSSD,SASA,IA-SSD.
• KhronosGroup/OpenCL-SDK - OpenCL SDK
• wilicc/gpu-burn - Multi-GPU CUDA stress test
• lab-sun/SLAMesh - The official implementation of SLAMesh.
• UMich-BipedLab/LiDARTag - This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
• RemoteSensingFrank/LidarProc - 激光点云处理工具，集成Cesium与Potree实现在线点云查看和处理
• mguentner/cannelloni - a SocketCAN over Ethernet tunnel
• fishros/fish_protocol - FishProtocol是一个方便的C++多协议(串口/UDP/TCP)通信库
• pyg-team/pyg-lib - Low-Level Graph Neural Network Operators for PyG
• NaokiAkai/mcl3d_ros - A ROS node of 3D-LiDAR-based Monte Carlo localization
• deepaktalwardt/point-cloud-clustering - This repository contains code for Point Cloud Clustering project for CMPE 255
• url-kaist/Ground-Segmentation-Benchmark - Ground segmentation benchmark in SemanticKITTI dataset
• cavayangtao/lidar_clustering_bench - LiPC: LiDAR Point Cloud Clustering Benchmark Suite
• HMX2013/CVC-ROS - An ROS implementation for paper "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"
• HMX2013/FSPC-ROS - A ROS implementation of range image base dbscan clustering for 3D LiDAR point clouds
• HMX2013/CH-MOA-ROS - A ROS implementation of "An Efficient Convex Hull-Based Vehicle Pose Estimation Method for 3D LiDAR"
• sunjingnjupt/PE-CHL-v2 - A Fast and Precise Contour-Based Heuristic Vehicle Pose Estimation with LIDAR
• sunjingnjupt/PE-HL-PF - Dynamic Vehicular Pose Estimation with Heuristic L-Shape Fitting and Grid-based Particle Filter
• HMX2013/RANSAC-L-Shape-Fitting - An ROS implementation of "L-Shape Fitting-Based Vehicle Pose Estimation and Tracking Using 3D-LiDAR"
• liu115/mesh2color_voxel - This is a tool for voxelizing ply mesh with color informations.
• zjuluolun/BVMatch - Lidar-based Place Recognition Using Bird's-eye View Images
• zjuluolun/KITTI_LiDAR_Process - Divide the LiDAR data of KITTI into 64 beams
• zjuluolun/pointCloudLibrviz - 使用Qt+librviz+ros设计点云显示界面
• dependon/simple-image-filter - Qt,filter,图像处理,image process
• TomLao/LaneLine-and-Sign-Detection - 车道线和路牌的简单识别，使用qt界面
• teddyluo/hybrid-a-star-annotation - Hybrid A*路径规划器的代码注释
• karlkurzer/path_planner - Hybrid A* Path Planner for the KTH Research Concept Vehicle
• miaopass/ECO_HC -
• hez2010/EcoTracker - Object tracker using ECO-HC algorithm. Most are copy-pasted from OpenTracker, but this project contains Windows support.
• nicewsyly/ECO - c++ visual studio implement of ECO: Efficient Convolution Operators for Tracking
• Morwenn/cpp-sort - Sorting algorithms & related tools for C++14
• mcximing/sort-cpp - C++ port of Simple online and realtime tracking(SORT)
• xurui/SiamRPNTracker -
• nearthlab/SiamMaskCpp - C++ Implementation of SiamMask
• wcyjerry/siam-trackers - Fast SiamRPN++ & SiamMask in C++
• phbender/liblanelet - Lanelet maps have been introduced in the context of the autonomous completion of the Bertha-Benz-Memorial-Route in 2013
• ggerganov/llama.cpp - LLM inference in C/C++
• openxla/xla - A machine learning compiler for GPUs, CPUs, and ML accelerators
• lxd-cumt/ABM-SpConv -
• marcoslucianops/DeepStream-Yolo - NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
• eric612/MobileNet-YOLO - A caffe implementation of MobileNet-YOLO detection network
• Wulingtian/yolov5_caffe - yolov5 onnx caffe
• ChenYingpeng/caffe-yolov3 - A real-time object detection framework of Yolov3/v4 based on caffe
• yukiwsf/yolov5s_caffe_sort_cpp - YOLOv5s + SORT with Caffe (CPU Inference) Demo
• youkely/InfrasCal - InfrasCal: Automatic Infrastructure-based Intrinsic and Extrinsic Calibration of a Multi-camera System
• AsakoKabe/docker-for-InfrasCal - test task for MIPT
• hengli/camodocal - CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
• ARM-software/libGPUInfo - A utility library for application developers to query the configuration of the Arm Immortalis GPU or Arm Mali GPU present in their system.
• xingyuuchen/LIO-PPF - [IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
• hku-mars/ROG-Map -
• zombieCraig/stk-code - Modified SuperTuxKart to support sending CANBus messages
• zombieCraig/UDSim -
• git-disl/EVA - Fast Edge Video Analytics
• ros-industrial/ros_canopen - CANopen driver framework for ROS (http://wiki.ros.org/ros_canopen)
• wanghuohuo0716/ros_can_driver -
• normaldotcom/cangaroo - Open source can bus analyzer software - with support for CANable / CANable2, CANFD, and other new features
• GDUT-Kyle/MULTI_LIDARs_CALIBRATE - A Simple Multi-Livox External Parameter Calibration Method
• GDUT-Kyle/faster_lio_sam - FASTER-LIO-SAM: A SLAM system based on iVox and GTSAM.
• KennyWGH/ikd-Tree-detailed - 「香港大学 MaRS 实验室」开源 ikd-Tree 算法中文注释版；新增了header-only分支，便于直接嵌入工程。
• hku-mars/ikd-Tree - This repository provides implementation of an incremental k-d tree for robotic applications.
• collin80/SavvyCAN - QT based cross platform canbus tool
• Smorodov/Multitarget-tracker - Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
• martinruenz/maskfusion - MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
• martinruenz/co-fusion - Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
• StephLin/LIO-SEGMOT - LiDAR-Inertial Odometry via Simultaneous Ego-motion Estimation and Multiple Object Tracking (ICRA 2023)
• ros-perception/vision_msgs - Algorithm-agnostic computer vision message types for ROS.
• ros-perception/pointcloud_to_laserscan - Converts a 3D Point Cloud into a 2D laser scan.
• ros-perception/vision_opencv -
• francisengelmann/fast_voxel_traversal - Fast and simple voxel traversal algorithm through a 3D space partition.
• jinwandou/-KalmanFilter- - OpenCV2——卡尔曼滤波(KalmanFilter)详解
• Done4/FFmpegMPPDecoder - h264的软解和硬解，基于FFmpeg和MPP
• wexiangis/rtsp_to_h264 - live555的解h264/265并转存文件或流的工具
• MUZLATAN/MPP_ENCODE - mpp 硬解码
• WainDing/mpp_linux_cpp - a demo shows that how to use rockchip mpp framework in linux
• NVlabs/tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
• hufman/rockchip-linux-rga - Firefly/Rockchip RGA library mirror
• poppin-mice/AAHLS_Final_PointPillars - Repo for the AAHLS final of team 1 (PointPillars)
• mRobotit/mRobot_book -
• TixiaoShan/imaging_lidar_place_recognition - ICRA 2021 - Robust Place Recognition using an Imaging Lidar
• KangchengLiu/DLC_LiDAR_SLAM - 🔥 💪 Official Project: A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure (DLC-SLAM, TMECH-2023)
• yuecideng/Misc3D - A unified library for 3D data processing with both c++ and python API
• yuecideng/PrimitivesFittingLib - A unified library for fitting primitives from 3D point cloud data with both C++&Python API.
• huolu1987/Qt-study - Qt study 学习资料，官方示例深扒目前包含：地址薄管理，串口工具
• Eagleflag88/MultiModalEvnPercption - Experimental platform to achieve fused environment perception using different modalities of sensors
• yonasteodros/eigen-cuda-pcl -
• rafael-radkowski/TrackingExpertPlus - TrackingExpert+ introduces a set of tools for augmented reality (AR) application development. In particular, it provides for 6-degree-of-freedom (DoF) pose measurement and 3D visualization capabilitie
• nicolasavru/ppf-registration-spatial-hashing - GPU-based point pair feature registration with spatial hashing clustering.
• tttamaki/cuda_emicp_softassign - CUDA-based implementations of Softassign and EM-ICP
• SilvioGiancola/VisualInertialKinectFusion - Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction pipeline
• wangyang2333/dbscan -
• NVIDIA-AI-IOT/isaac_ros_image_pipeline - Isaac ROS image_pipeline package for hardware-accelerated image processing in ROS2.
• UMich-CURLY/overlapnet_function_angle - OverlapNet with Function Angle
• generalized-intelligence/GAAS - GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
• KlemenDEV/VisionDrone - A drone positioning system for environments with bad or no GNSS reception
• rubis-lab/Autoware_On_Embedded - Autoware Source in Embedded Board (TX2, Xavier)
• UMich-CURLY/unified_cvo - Data-correspondence-free Point Cloud Registration on GPU
• calderpg/voxelized_geometry_tools - Voxelized geometry tools (Voxel-based collision/occupancy maps, signed-distance fields, discrete geometry tools)
• Open3DV/OpenCam3D -
• neka-nat/cupoch - Robotics with GPU computing
• JanuszBedkowski/gpu_computing_in_robotics -
• henryhcliu/Compliant-Grabbing-of-Dexterous-Hand-in-Complex-Scenarios-for-a-Visual-Guided-Collaborative-Robot - This repository contains the necessary codes driving the InspireHand Dexterous Hand (right one) to open and close based on the feedback of force sensors mounted on every DoF.
• Natsu-Akatsuki/PyApolloInstanceSegmentation - provice Python API for apollo instance segmentation
• Natsu-Akatsuki/RangeNet-TensorRT - Rangenet++ with high-version TensorRT (e.g.8~10), libtorch, CUDA programming.
• bytedance/lightseq - LightSeq: A High Performance Library for Sequence Processing and Generation
• apennisi/jpdaf_tracking - A tracker based on joint probabilistic data association filtering.
• mithi/fusion-ukf - An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
• xiaohulugo/3DLineDetection - A simple and efficient 3D line detection algorithm for large scale unorganized point cloud
• joffman/ros_object_recognition - A framework for ROS-based 2D and 3D object recognition.
• yaoli1992/bin_picking - this is a binpicking code base on PCL
• yaoli1992/LiDAR-Point-Cloud-Compression - modify from https://github.com/horizon-research/Real-Time-Spatio-Temporal-LiDAR-Point-Cloud-Compression
• jkk-research/pointcloud_to_grid - ROS 1 and ROS 2 node that converts sensor_msgs/PointCloud2 LIDAR data to nav_msgs/OccupancyGrid 2D map data based on intensity and / or height. 🤖
• wangx1996/Semantic-Kitti-Label-Read - A c++ version code to read semantic kitti label.
• DreamLife-Jianwei/Qt-Vtk - Qt&Vtk 学习实例,移植了大部分官方的实例代码到Qt中。自己写了一个4视图的小程序，停更
• tsabelmann/canviewer - canviewer is a can-bus analysis software application. It is based on SocketCan and uses *.json files to decode specific can-bus message having a specific ID.
• elitechrome/ros2_pcan - ROS2 PCAN Driver for MacOSX
• avmm9898/PCAN_QT -
• kripton/socketcangui - GUI for the linux socketcan-API
• gbosiger/cansocket-qt-lib - SocketCAN for Qt
• siposcsaba89/socketcan-cpp - Simple c++ interface to read/write can sockets
• autowarefoundation/ros2_socketcan - A ROS2 wrapper around Linux SocketCAN
• JCube001/socketcan-demo - Contains a set of example programs which highlight how to make use of SocketCAN on Linux
• mwkpe/cantools - A collection of CLI tools for the CAN bus network
• zhuyanliang/GlobelCanTools - CAN通信的监视测试软件
• VincentCheungM/Run_based_segmentation - An ongoing implementation ros node on fast segmentation of 3d point clouds: a paradigm...
• chrise96/3D_Ground_Segmentation - A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. I
• DLTcollab/sse2neon - A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
• cmdbug/YOLOv5_NCNN - 🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。
• zzningxp/PointPillars-ROS - A 3D detection Pointpillars ROS deployment on Nvidia Jetson TX1/Xavier
• Tartisan/MMDet3d-PointPillars - PointPillars TensorRT version pretrained on MMDetection3d with WaymoOpenDataset
• fateshelled/rknpu2_ros - ROS 2 Inference sample for using Rockchip NPU.
• olibartfast/yolov4-triton-cpp-client -
• olibartfast/object-detection-inference - C++ object detection inference from video or image input source
• OpenCalib/SensorX2car -
• JonathanSalwan/Triton - Triton is a dynamic binary analysis library. Build your own program analysis tools, automate your reverse engineering, perform software verification or just emulate code.
• hku-mars/Point-LIO -
• hku-mars/ImMesh - ImMesh: An Immediate LiDAR Localization and Meshing Framework
• hku-mars/FAST_LIO - A computationally efficient and robust LiDAR-inertial odometry (LIO) package
• hku-mars/r2live - R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping package
• python-rapidjson/python-rapidjson - Python wrapper around rapidjson
• zjhellofss/ffmpeg_cuda - ffmpeg的cuda解码方式
• zjhellofss/KuiperInfer - 校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
• unmannedlab/point_labeler -
• unmannedlab/imu_lidar_calibration - Target-free Extrinsic Calibration of a 3D Lidar and an IMU
• nlohmann/json - JSON for Modern C++
• uNetworking/uWebSockets - Simple, secure & standards compliant web server for the most demanding of applications
• lemenkov/libyuv - Unofficial libyuv mirror. Please submit any issues or PRs upstream.
• Little-Potato-1990/localization_in_auto_driving -
• ouster-lidar/ouster-sdk - Ouster, Inc. sample code
• CVCUDA/CV-CUDA - CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
• hpi-xnor/BMXNet-v2 - BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
• 12-10-8/HRNet_TensorRT -
• 12-10-8/HRNet_cpp - HRNet的C++版本的推理实现
• Chenskkk/zvision_pcap2pcd -
• exaloop/codon - A high-performance, zero-overhead, extensible Python compiler using LLVM
• ethz-asl/maplab - A Modular and Multi-Modal Mapping Framework
• yas-sim/openvino-ep-enabled-onnxruntime - Describing How to Enable OpenVINO Execution Provider for ONNX Runtime
• SonwYang/YoloX-TensorRT-webcam -
• SonwYang/Cell_segmentation_via_TensorRT - TensorRT,Semantic Segmentation
• SonwYang/onnxruntime_segmentation - onnxruntime
• SonwYang/onnxruntime_resnet - onnxruntime
• PolySync/oscc - Open Source Car Control 💻🚗🙌
• OpenCalib/JointCalib -
• OpenCalib/LiDAR2INS -
• MapIV/rtklib_ros_bridge - ROS bridge for RTKLIB v2.4.3
• victorbadenas/SimpleOnnxInference - A simple c++ onnx application for inferencing images
• halide/Halide - a language for fast, portable data-parallel computation
• microsoft/onnxruntime-extensions - onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
• dog-qiuqiu/simple-rknn2 - The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588
• airockchip/RK3399Pro_npu -
• Zhou-sx/yolov5_Deepsort_rknn - Track vehicles and persons on rk3588 / rk3399pro.
• airockchip/rknpu_ddk - DDK for Rockchip NPU
• kahowang/3D-SLAM-Multiple-robot-platforms - 多平台搭建SLAM系统，包括(轮式底盘、四足机器人、无人机、无人船、轮腿式机器人等)，复现3D-SLAM开源算法，如：LEGO-LOAM、LIO-SAM、LVI-SAM、FAST-LIO、R2LIVE、R3LIVE等~
• kahowang/sensor-fusion-for-localization-and-mapping - 深蓝学院 多传感器定位融合第四期 学习笔记
• mlverse/lltm - Long Long Term Memory Neural Net Cells
• llvm/torch-mlir - The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
• iree-org/iree - A retargetable MLIR-based machine learning compiler and runtime toolkit.
• tpoisonooo/how-to-optimize-gemm - row-major matmul optimization
• zdzhaoyong/PICMake - 你还在学CMake的过程中毫无头绪吗？你还在为复杂程序库依赖发愁吗？你是否觉得原生CMake的编写冗余而低效？那就快来学习和使用PICMake吧！只需要一行，无论是可执行，动态库还是静态库，轻松搞定！同时高效支持多目标，复杂库的编译安装，从此告别大量冗余CMake代码，专注开发核心应用程序，编译不再愁！ 例如下面是使用PICMake编译一个依赖OpenGL的可执行文件，只需要一行！
• immortalCO/PointTree -
• keeganhk/PointMCD - PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition
• a-givertzman/engine_3d - Example application drawing any 3d Obj-format model on the canvas using simple 3D engine written in Dart.
• qt/qtcanvas3d - Qt Canvas 3D
• VLOGroup/optox - OPerator TO any deep learning framework
• JeremyBYU/polylidar - Polylidar3D - Fast polygon extraction from 3D Data
• roboskel/pointcloud2_clustering - Clustering using PCL for Pointcloud2 messages
• UTNuclearRoboticsPublic/pointcloud_processing_server - Server which performs basic processing of pointclouds using PCL - filtering, clipping, transformations, voxelizations, segmentations.
• wangyancheng90/PointCloudProcessTool - Some tools for point cloud segmentation/filtering/classification/recognition/detection...
• TarcisioLOliveira/PointCloud - Simple OpenGL/C++ point cloud implementation
• ethz-asl/volumetric_mapping - A repository for 3D volumetric (occupancy) maps, providing a generic interface for disparity map and pointcloud insertion, and support for custom sensor error models.
• eglrp/PointCloudClassifier -
• sining1989/PointCloudTools - PointCloudTools是一款在Windows平台基于VS2017、Qt5.9.5、PCL1.8.1、VTK8.0.0源码编译开发的专门处理点云（.pcd、.ply、.obj等格式）文件的可视化工具。 该工具点云可视化使用的是vtk8.0.0编译生成的QVTKWidget窗口控件，使用PCL可以对点云进行滤波(filter)、特征提取(features)、关键点(keypoint)、 分割(
• latte-z/PointCloudTool - 基于Qt和PCL开发的点云处理软件
• Maswor/PointCloud-Skeletonization - Algorithm to extract the visual skeleton of the scanned objects. Mirror from the research group's private repo.
• akhilthomas17/pointcloud-landmarks-extractor - Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data
• GuYufeng93/Pointcloud-to-Images - An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.
• KevinJia1212/colored_pointcloud - Generate color pointcloud using the messages from one camera and one lidar
• ahestevenz/pcl-edge-detection - Edge-detection application with PointCloud Library
• roboskel/pointcloud2_cluster_tracking - Cluster tracking using the Hungarian algorithm.
• DeepLink-org/CVFusion - CVFusion is an open-source deep learning compiler to fuse the OpenCV operators.
• fzi-forschungszentrum-informatik/gpu-voxels - GPU-Voxels is a CUDA based library which allows high resolution volumetric collision detection between animated 3D models and live pointclouds from 3D sensors of all kinds.
• AlfonsoLRz/PointCloudRendering - Fast rendering of large point clouds in OpenGL through compute shaders.
• luoru/PointCloud-segmentation - PointCloud Segmentaion
• leggedrobotics/open3d_slam - Pointcloud-based graph SLAM written in C++ using open3D library.
• halostorm/pointCloud_ground_detection -
• cgtuebingen/pointcloud-viewer - Efficient Large-Scale Point-Cloud Viewer based on OpenGL
• artivis/pointcloud_to_rangeimage - [ROS][C++] Convert a pointcloud to rangeimage and back to pointcloud
• veraposeidon/PointCloudVolumeMeasure - 点云测体积Demo：用Kinect+PCL点云库测量方体体积。
• fverdoja/Fast-3D-Pointcloud-Segmentation - Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding
• xtaci/algorithms - Algorithms & Data structures in C++.
• steven9046/minimal_for_arm -
• intel/he-transformer - nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
• NervanaSystems/he-transformer - nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
• bytedance/effective_transformer - Running BERT without Padding
• Tencent/TurboTransformers - a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
• NVIDIA/FasterTransformer - Transformer related optimization, including BERT, GPT
• yisun98/DCNV2 - Deformable Convolutional Networks V2 可支持PyTorch1.7及以上版本以及RTX 3090 GPU，可直接编译
• smallsunsun1/custom_ops - Deformable Convolution Networks(deformable conv2D TF_implementation)
• LaughingMaan/LMNet-v2.0 - Starting my LMNet project again
• wangx1996/Lidar-pcd-2-jpg-of-bird-eye-view- - Take bird-eye-view Jpg file from pcd file.
• wangx1996/Fast-Ground-Segmentation-Based-on-JPC - An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 2021; 13(16):3239. https://doi
• wangx1996/Cascaded-Lidar-Ground-Segmentation - A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC
• wangx1996/Multi-Object-Tracking - A fast object tracking method by using JPDA-IMM-UKF.
• wangx1996/LIDAR-Segmentation-Based-on-Range-Image - This is a lidar segmentation method based on range image.
• r-lidar/RCSF - Airborne LiDAR filtering method based on Cloth Simulation
• rdiankov/openrave - Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.
• YizhenLAO/FEC -
• dji-sdk/Onboard-SDK-ROS - Official ROS packages for DJI onboard SDK.
• ARM-software/ComputeLibrary - The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
• hirakuni45/RX - Renesas RX Microcontroller, C++ framework, Library, Sample
• Ascend/ascend-opencv -
• renesas-rz/rzv_drp-ai_tvm - Extension package of Apache TVM (Machine Learning Compiler) for Renesas DRP-AI accelerators powered by Edgecortix MERA(TM) Based Apache TVM version: v0.11.1
• PRBonn/semantic_suma - SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
• jbehley/SuMa - Surfel-based Mapping for 3d Laser Range Data (SuMa)
• ethz-asl/segmap - A map representation based on 3D segments
• koide3/hdl_graph_slam - 3D LIDAR-based Graph SLAM
• TixiaoShan/LIO-SAM - LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
• wykxwyc/LeGO-LOAM_NOTED - LeGO-LOAM代码注释与学习
• cuitaixiang/LOAM_NOTED - loam code noted in Chinese（loam中文注解版）
• ros-perception/slam_karto - ROS Wrapper and Node for OpenKarto
• ros-perception/open_karto - Catkinized ROS Package of the OpenKarto Library (LGPL3)
• tu-darmstadt-ros-pkg/hector_slam - hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.
• ros-perception/slam_gmapping - http://www.ros.org/wiki/slam_gmapping
• LAStools/LAStools - efficient tools for LiDAR processing
• kzampog/cilantro - A lean C++ library for working with point cloud data
• andyzeng/3dmatch-toolbox - 3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
• castacks/tartancalib - TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
• 2209520576/Image-Processing-Algorithm - 基于OPenCV实现图像处理各种常用算法
• yas-sim/blazepose_openvino - BlazePose model test program for Intel Distribution of OpenVINO toolkit
• FeiGeChuanShu/ncnn_Android_BlazePose - Android BlazePose demo by ncnn
• cartographer-project/cartographer - Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
• cartographer-project/cartographer_ros - Provides ROS integration for Cartographer.
• PDAL/PDAL - PDAL is Point Data Abstraction Library. GDAL for point cloud data.
• koide3/fast_gicp - A collection of GICP-based fast point cloud registration algorithms
• lijx10/PCLKeypoints - Python wrapper for some point cloud keypoint detectors of PCL, including ISS, Harris3D, SIFT3D
• naibaf7/libdnn - Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL
• tiny-dnn/tiny-dnn - header only, dependency-free deep learning framework in C++14
• conan-community/conan-tiny-dnn - [DEPRECATED] Conan.io recipes for tiny-dnn
• url-kaist/patchwork-plusplus-ros - ROS & ROS2 Implementation of Patchwork++
• jianboqi/CSF - LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
• SmallMunich/bcnn - point cloud segmentation and deploy using apollo bcnn network.
• kosuke55/tensorrt_bcnn - Lidar apollo instance segmentation CNN
• AcademySoftwareFoundation/openvdb - OpenVDB - Sparse volume data structure and tools
• triton-lang/triton - Development repository for the Triton language and compiler
• xiezhihua001/dldt-samples -
• elvin-n/dldt_tools - Place for dldt based tools, samples and demos
• linxie47/dldt-c_api -
• faultaddr/3DViewer - 3DViewer For Researchers
• nightn/CloudViewer - A cross-platform point cloud visualization software powered by PCL and Qt.
• doubleZ0108/Play-with-NVIDIA-Jetson-Nano - Try Edge Computing devices from scratch --- NVIDIA Jetson Nano
• Xilinx/Vitis_Model_Composer - Vitis Model Composer Examples and Tutorials
• MegEngine/MegCC - MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器
• LiuXiaolong19920720/simple_net - A simple deep neural network implemented in C++，based with OpenCV Mat matrix class
• hku-mars/STD - A 3D point cloud descriptor for place recognition
• NVIDIA/VideoProcessingFramework - Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions
• doe300/VC4CL - OpenCL implementation running on the VideoCore IV GPU of the Raspberry Pi models
• thortex/rpi3-vc4cl - VC4CL for Raspberry Pi 3
• yhirose/cpp-httplib - A C++ header-only HTTP/HTTPS server and client library
• methylDragon/pcl-ros-tutorial - A fairly in-depth tutorial for the Point Cloud Library (with ROS integration notes!)
• praveen-palanisamy/multiple-object-tracking-lidar - C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
• AmeyaWagh/3D_object_recognition - recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method
• dbworth/pcl_binvox - Convert between binvox binary voxel and PCD file formats, for PCL (PointCloud Library).
• daviddoria/VTK_PCL_Conversions - NOTE: This work has been merged into the PCL trunk repository. Conversion between the VTP and PCD file formats
• ros-perception/perception_open3d - Open3D analog to perception_pcl, containing conversion functions from Open3D to/from ROS types
• sqhuang/QtPCL - qt界面框架 for PCL
• codebydant/video2image-opencv - This is a c++ program to convert a video to frames
• codebydant/video2opencv-video - This is a C++ program to convert a video to opencv format video
• codebydant/DBScan-PCL-Optimized - DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library
• elben6exam/raspbeery_pi4_arm_openvino -
• openvinotoolkit/openvino_contrib - Repository for OpenVINO's extra modules
• RaulHuertas/Qt3DLinuxARM - An example of how to build applications using qt3d on arm/linux platforms. It's for when the libs are already built, but not found with "QT += 3dcore 3drender ..." commands
• vision-agh/pp-finn -
• DeepVAC/libdeepvac - Use PyTorch model in C++ project
• AI-OP/edge-brain - Simple examples of using bazel to cross compile AI applicaions for armv7hf devices.
• andreanobile/opencv_ffmpeg_streaming - rtmp streaming from opencv with ffmpeg / avcodec using C++ or Python
• zhuohengfeng/OpenCVFFmpegRtmp - Opencv + FFMpeg 采集视频后RTMP推流
• thb1314/ffmpeg-qt-openvino-rtmp -
• sambios/ffmpeg-pusher - Use ffmpeg to push stream to server, support file and many protocols like rtsp/rtmp/tcp/udp etc.
• gongluck/AnalysisAVP - 音视频学习，相关文件格式/协议分析，框架学习等。encode decode；rgb yuv h264 aac flv mp4 rtmp；libyuv x264 openh264 faac faad2 fdk-aac librtmp ffmpeg sdl2 webrtc；android ios capture videotoolbox；
• MingYueRuYa/FFmpeg-RTMP - 对FFmpeg和RTMP的学习
• jkuri/opencv-ffmpeg-rtmp-stream - OpenCV FFMpeg Live Video Stream over RTMP protocol.
• hku-mars/r3live - A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
• dragonflydb/dragonfly - A modern replacement for Redis and Memcached
• Ewenwan/MVision - 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
• cameron314/concurrentqueue - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
• ZLMediaKit/ZLMediaKit - WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181/SRT server and client framework based on C++11
• wang-bin/QtAV - A cross-platform multimedia framework based on Qt and FFmpeg. 基于Qt和FFmpeg的跨平台高性能音视频播放框架. Recommand to use new sdk https://github.com/wang-bin/mdk-sdk
• RYAN9528221/FFMPEG-MFC-VC-Mux-recoding-audio-and-mixed-it-with-.BMP-to-YUV-Image-Buffer -
• sophon-ai-algo/examples - Examples for SophonSDK
• AnBaolei1984/PaddleOCR-BM1684Demo -
• Carnon/trt_yolov7 - tensorrt yolov7 without onnxparser
• QIANXUNZDL123/tensorrtx-yolov7 - yolov7-tensorrtx
• gaoxiang12/slambook2 - edition 2 of the slambook
• ninja-build/ninja - a small build system with a focus on speed
• Nelarius/imnodes - A small, dependency-free node editor for dear imgui
• wang-xinyu/tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API
• ArjunNarayan2066/WatoContiRadarCollaboration -
• WATonomous/Wato_Conti_Radar_Collab - WATonomous radar driver code for collaboration with Continental.
• NVIDIA-AI-IOT/ros2_tao_pointpillars - ROS2 node for 3D object detection using TAO-PointPillars.
• stevenlovegrove/Pangolin - Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
• aravindSwamy94/Robotic-Manipulation - Robotic Manipulation exercises- Robot motion planning, Pick and place object, Object hold
• ctu-vras/visuo-haptic-shape-completion - Simulation, benchmark, and dataset for active uncertainty-driven visuo-haptic shape completion.
• rapyuta-robotics/depthai_ros - ROS driver for DepthAI SoM
• vedderb/bldc-tool - A Qt program to control and debug my BLDC-controller
• zerollzeng/tiny-tensorrt - Deploy your model with TensorRT quickly.
• Tsinghua-OpenICV/OpenICV -
• ros-planning/navigation - ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
• ros-drivers/usb_cam - A ROS Driver for V4L2 USB Cameras
• novauto-open-source/CIA-SSD_TensorRT -
• sparsehash/sparsehash - C++ associative containers
• applenob/Cpp_Primer_Practice - 搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
• abhi1kumar/DEVIANT - [ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
• libing64/camera_model - 相机内参标定和双目标定, 支持多种相机模型和多种标定板，
• SFUMECJF/cmake-examples-Chinese - 快速入门CMake,通过例程学习语法。在线阅读地址：https://sfumecjf.github.io/cmake-examples-Chinese/
• sean-wade/yolov5_bm1684 - bitmain bm1684 inference code of YoloV5...
• sunjun/sophon-inference -
• PaddlePaddle/Anakin - High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.
• BM1880-BIRD/bm1880-ai-demo-program -
• sophon-ai-algo/sophon-inference - Guide to deploying deep-learning inference networks and deep vision primitives on Sophon TPU.
• sophgo/tpu-mlir - Machine learning compiler based on MLIR for Sophgo TPU.
• CharlesShang/DCNv2 - Deformable Convolutional Networks v2 with Pytorch
• lucasjinreal/DCNv2_latest - DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)
• Jittor/JNeRF - JNeRF is a NeRF benchmark based on Jittor. JNeRF re-implemented instant-ngp and achieved same performance with original paper.
• NVIDIA/cutlass - CUDA Templates for Linear Algebra Subroutines
• GCaptainNemo/Camera-Calib-OpenCV - Opencv calibration program for different checkerboards.
• GCaptainNemo/Fusion-Lidar-Camera-ROS - This repository uses a ROS node to subscribe to camera (hikvision) and lidar (livox) data. After the node merges the data, it publishes the colored point cloud and displays it in rviz.
• liyang-whu/lidar_rtk_calibration - 使用手眼标定法计算Lidar和INS(RTK or IMU)的相对姿态
• davisking/dlib - A toolkit for making real world machine learning and data analysis applications in C++
• BVLC/caffe - Caffe: a fast open framework for deep learning.
• DoanNguyenTrong/object-detection-tflite-cpp - #object detection #rb5 #qualcomm #hexagon #gpu #inference
• Hozzu/TFLite-aarch64-linux-with-delegate - Deep learning inference SW framework based on TensorFlow Lite for Aarch64 Linux with GPU and Hexagon delegate
• nlbutts/tflite_zynq - Example code and instructions on getting Tensorflow Lite running on a Xilinx Zynq
• espressif/esp-tflite-micro - TensorFlow Lite Micro for Espressif Chipsets
• google/tensorstore - Library for reading and writing large multi-dimensional arrays.
• google-coral/libcoral - C++ API for ML inferencing and transfer-learning on Coral devices
• fb029ed/yolov5_cpp_openvino - 用c++实现了yolov5使用openvino的部署
• openvino-dev-samples/YOLOv7_OpenVINO_cpp-python - This repository will demostrate how to deploy a offical YOLOv7 pre-trained model with OpenVINO runtime api
• AI-OP/image-classifier - Image classifier to help TensorFlow Lite C++ API usage with Bazel.
• oneapi-src/oneAPI-samples - Samples for Intel® oneAPI Toolkits
• isl-org/open3d-cmake-find-package - Find pre-installed Open3D package in CMake
• NVIDIA-AI-IOT/deepstream_parallel_inference_app - A project demonstrating how to use nvmetamux to run multiple models in parallel.
• NVIDIA-AI-IOT/deepstream_reference_apps - Samples for TensorRT/Deepstream for Tesla & Jetson
• ttanzhiqiang/onnx_tensorrt_project - Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
• engcang/ros-yolo-sort - YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)
• iwatake2222/rotation_master - Provide conversion between the major representations of 3D rotation and visualize the orientation of a rigid body
• mindspore-ai/mindspore - MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
• iwatake2222/InferenceHelper - C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow
• iwatake2222/InferenceHelper_Sample - Sample projects for InferenceHelper, a Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow
• jiangxinyang227/nlp_tflite - nlp模型转tensorflow lite，并使用c++调用
• FeiGeChuanShu/YOLOPv2-ncnn -
• FeiGeChuanShu/yolov5-seg-ncnn - c++ version of yolov5 segmentation with ncnn
• hpc203/yolopv2-opencv-onnxrun-cpp-py - 分别使用OpenCV、ONNXRuntime部署YOLOPV2目标检测+可驾驶区域分割+车道线分割，一共包含54个onnx模型，依然是包含C++和Python两个版本的程序。仅仅只依赖OpenCV就能运行，彻底摆脱对任何深度学习框架的依赖。
• PaddlePaddle/Serving - A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）
• AojunZhou/Incremental-Network-Quantization - Caffe Implementation for Incremental network quantization
• MegEngine/MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
• bluealert/MetaNN-book - 《C++模板元编程实战：一个深度学习框架的初步实现》
• liwei-cpp/MetaNN -
• PaddlePaddle/Paddle-Lite - PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
• PaddlePaddle/Paddle-Lite-Demo - lib, demo, model, data
• changkun/modern-cpp-tutorial - 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
• PaddlePaddle/Paddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
• onnx/onnx-mlir - Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
• Maratyszcza/pthreadpool - Portable (POSIX/Windows/Emscripten) thread pool for C/C++
• oneapi-src/oneDNN - oneAPI Deep Neural Network Library (oneDNN)
• Oneflow-Inc/oneflow-xrt -
• Oneflow-Inc/oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
• google/snappy - A fast compressor/decompressor
• tum-vision/lsd_slam - LSD-SLAM
• Ewenwan/ORB_SLAM2_SSD_Semantic - 动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
• UZ-SLAMLab/ORB_SLAM3 - ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
• gaoxiang12/slambook -
• raulmur/ORB_SLAM2 - Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
• karthickai/tflite - TensorFlow Lite (tflite) C++ Series
• openvinotoolkit/openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
• louis-she/torchscript-demos - A brief of TorchScript by MNIST
• microsoft/CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
• leggedrobotics/darknet_ros - YOLO ROS: Real-Time Object Detection for ROS
• prabindh/qt5-opencv3-darknet - Qt5 + Darknet/Yolo + OpenCV3
• hpc203/bytetrack-opencv-onnxruntime - 分别使用OpenCV、ONNXRuntime部署YOLOX+ByteTrack目标跟踪，包含C++和Python两个版本的程序
• ucb-bar/onnxruntime-riscv - Fork of upstream onnxruntime focused on supporting risc-v accelerators
• OpenPPL/ppl.nn - A primitive library for neural network
• herumi/xbyak - A JIT assembler for x86/x64 architectures supporting MMX, SSE (1-4), AVX (1-2, 512), FPU, APX, and AVX10.2
• XiaoMi/mace - MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
• Tencent/TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cr
• PaddlePaddle/FastDeploy - ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end op
• Tencent/ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
• Tencent/rapidjson - A fast JSON parser/generator for C++ with both SAX/DOM style API
• nxp-imx/mfgtools - Freescale/NXP I.MX Chip image deploy tools.
• iwatake2222/play_with_tflite - Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI
• tensorflow/tflite-support - TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
• tensorflow/tflite-micro - Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
• seladb/PcapPlusPlus - PcapPlusPlus is a multiplatform C++ library for capturing, parsing and crafting of network packets. It is designed to be efficient, powerful and easy to use. It provides C++ wrappers for the most popu
• liuxinren456852/PointGroup -
• shouxieai/tensorRT_Pro - C++ library based on tensorrt integration
• eProsima/Fast-CDR - eProsima FastCDR library provides two serialization mechanisms. One is the standard CDR serialization mechanism, while the other is a faster implementation of it. Looking for commercial support? Conta
• eProsima/Fast-DDS - The most complete DDS - Proven: Plenty of success cases. Looking for commercial support? Contact [email protected]
• foonathan/memory - STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.
• minhanghuang/CyberRT - Baidu Apollo(v9.0.0) CyberRT Framework CMake Build
• zhxt/cyber-rt - Redistributed Apollo CyberRT, built with CMake.
• storypku/CyberRT - Apollo CyberRT framework for Autonomous Driving
• sunmiaozju/smartcar - 自动驾驶系统实现
• Tessil/robin-map - C++ implementation of a fast hash map and hash set using robin hood hashing
• masszhou/spconv_lite - sparse convolution lib. derived from spconv
• url-kaist/patchwork-plusplus - Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
• BIGBALLON/PyTorch-CPP - PyTorch C++ inference with LibTorch
• dpilger26/NumCpp - C++ implementation of the Python Numpy library
• rogersce/cnpy - library to read/write .npy and .npz files in C/C++
• pointpillars-on-openvino/pointpillars-on-openvino -
• OAID/Tengine - Tengine is a lite, high performance, modular inference engine for embedded device
• microsoft/onnxruntime-inference-examples - Examples for using ONNX Runtime for machine learning inferencing.
• ser94mor/lidar-obstacle-detection - Project: Lidar Obstacle Detection || Udacity: Sensor Fusion Engineer Nanodegree
• intel/OpenVINO-optimization-for-PointPillars - OpenVINO™ optimization for PointPillars*
• microsoft/onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
• daquexian/onnx-simplifier - Simplify your onnx model
• RUSH-LAB/NegativeSampling -
• IntelLabs/SLIDE_opt_ia -
• keroro824/HashingDeepLearning - Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
• DefTruth/lite.ai.toolkit - 🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉
• hpc203/yolov6-opencv-onnxruntime - 分别使用OpenCV、ONNXRuntime部署YOLOV6目标检测，包含C++和Python两个版本的程序
• HMX2013/L-shape-fitting-3D-LiDAR-ROS - An ROS implementation of "Efficient L-Shape Fitting for Vehicle Detection Using Laser Scanners"
• SohaibAl-emara/3D_Lidar_Curb_Detection -
• linyliny/curb_detection - based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor
• FloatingObjectSegmentation/CppRBNN -
• dianyunPCL/OpenSourceCode - Open Source Code
• brifsttar/OpenDRIVE - Unreal Engine OpenDRIVE plugin
• LimHyungTae/patchwork - SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)
• PRBonn/depth_clustering - 🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
• HuangCongQing/plane_fit_ground_filter - 点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications
• PJLab-ADG/SensorsCalibration - OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
• autowarefoundation/autoware_ai_perception -
• sainnhe/caj2pdf-qt - CAJ 转 PDF 转换器（GUI 版本）
• SmallMunich/L-Shape-Fitting - Efficient L-Shape Fitting for Vehicle Detection Using Laser Scanners
• wangx1996/Lidar-Segementation - An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
• abcvincent/OpencvDevelop - Qt+opencv制作的类似halcon的软件
• RobustFieldAutonomyLab/LeGO-LOAM - LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
• Qiuzhongyuan/pointpillars_pytorch_trt -
• godloveliang/SFND_Lidar_Obstacle_Detection_for_article - 用于传感器融合系列（一、二）——激光雷达点云的分割、聚类原理及实现
• xiaohulugo/PointCloudSegmentation - A point cloud segmentation algorithm based on clustering analysis
• placeforyiming/ICCVW21-LiDAR-Panoptic-Segmentation-TradiCV-Survey-of-Point-Cloud-Cluster - A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
• JaminJiang/dbscan_kdtree - Fast Implementation of DBSCAN using Kdtree for acceleration. The example is clustering point cloud(PCL library used).
• HuangCongQing/linefit_ground_segmentation_details - 快速3D点云分割论文代码（带注解）：Fast segmentation of 3d point clouds for ground vehicles
• lorenwel/linefit_ground_segmentation - Ground Segmentation from Lidar Point Clouds
• SmallMunich/FloorSegmentation - Ground Segmentation, Floor Segmentation
• k0suke-murakami/object_tracking -
• kimtaikee/QVTKDemo - Using VTK-Qt binding to demonstrate VTK features
• open-source-parsers/jsoncpp - A C++ library for interacting with JSON.
• imsoo/fight_detection - Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition
• imsoo/darknet_server - Darknet (Open source neural networks framework) Server
• JiaoPaner/detector-tensorrt-yolov5-linux -
• opencv/opencv_contrib - Repository for OpenCV's extra modules
• VLOGroup/dvs-calibration - Automatic Camera Calibration for DVS cameras
• ethz-asl/kalibr - The Kalibr visual-inertial calibration toolbox
• ethz-asl/lidar_align - A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
• Kyle-ak/imu_tk -
• robofit/but_velodyne - ROS packages for Velodyne 3D LIDARs provided by Robo@FIT group.
• ankitdhall/lidar_camera_calibration - ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
• JiangZhengok/WeChatCode - Code Note
• tanzby/BirdViewTransform - 4个不同方向的相机，将其鸟瞰变化后，进行拼接，得到车辆及周围区域的鸟瞰视角图 Put FOUR image(or video stream) from 4 differe
• JunzWu/Autoware_Calibration_Camera_Lidar -
• XidianLemon/calibration_camera_lidar - 从autoware分离出来的相机雷达联合标定ros包
• luckyluckydadada/HIKROBOT-MVS-CAMERA-ROS - The ros driver package of Hikvision Industrial Camera SDK.
• Livox-SDK/livox_camera_lidar_calibration - Calibrate the extrinsic parameters between Livox LiDAR and camera
• Qengineering/caffe - Caffe-ssd: a fast open framework for deep learning adapted for Raspberry Pi, Jetson Nano and Ubuntu. Fixed for cuDNN 8
• flann-lib/flann - Fast Library for Approximate Nearest Neighbors
• CMU-Perceptual-Computing-Lab/openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
• coin-or/metslib - An Open Source Tabu Search Metaheuristic framework in C++
• opencv/opencv - Open Source Computer Vision Library
• staillyd/bin2pcd_kitti -
• carla-simulator/carla - Open-source simulator for autonomous driving research.
• dbworth/pcap_to_pcd - Extract PointCloud files from Velodyne PCAP
• luckyluckydadada/camera_and_pointcloud_tools -
• lbin/DCNv2 - Deformable Convolutional Networks v2 with Pytorch
• badaix/aixlog - Header-only C++ logging library
• salehjg/MeshToPointcloudFPS - A mesh to pointcloud converter with FPS algorithm and HDF5 output generator
• OpenDriveLab/OpenLane - [ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
• calibtoolkit/calibration_kit -
• salehjg/DGCNN-on-FPGA - PLEASE USE THE NEW REPO https://github.com/salehjg/DeepPoint-V2-FPGA . The deprecated in-order-queue-based repository for "DGCNN on FPGA: Acceleration of The Point CloudClassifier Using FPGAs".
• Xharlie/DISN - (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
• HViktorTsoi/ACSC - Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
• ppogg/YOLOv5-Lite - 🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
• hpc203/yolov5-lite-onnxruntime - 使用ONNXRuntime部署yolov5-lite目标检测，包含C++和Python两个版本的程序
• alibaba/MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
• techshoww/mnn-yolov5 - Imported from https://gitee.com/techshoww/mnn-yolov5.
• fangchuan/serialPortHelper - 串口小助手程序，刻画出四通道曲线波形、接收视频、加载谷歌地图
• DLR-RM/3DObjectTracking - Algorithms and Publications on 3D Object Tracking
• alibaba/multiple-cameras-and-3D-LiDARs-extrinsic-calibration - This repo contains source code of our paper presented in IROS2021 "Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs"
• xjsxujingsong/FairMOT_TensorRT -
• xjsxujingsong/FairMOT_TensorRT_C -
• HaohaoNJU/CenterPoint - TensorRT deployment for CenterPoint Lidar Detection Model.
• msraig/pfcnn - Code for the paper "PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames" (CVPR 2020).
• hpc203/yolox-opencv-dnn - 使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序
• bmwcarit/pcl-people-tracker-timing-test - This test suite measures the people tracker runtime from the open-source library Point Cloud Library (PCL). It captures and visualizes the runtime and the runtime's dependency on certain calibration v
• novak-99/MLPP - A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
• LiangliangNan/Easy3D - A lightweight, easy-to-use, and efficient library for processing and rendering 3D data
• jingma-git/RealSkel - Real-time Skeletonization for Sketch-based Modeling
• xiangli0608/cartographer_detailed_comments_ws - cartographer work space with detailed comments
• jkk-research/urban_road_filter - Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
• Jmeyer1292/simulated_lidar_scanner - ROS/PCL/VTK tool
• jatin3893/vtkDataSetReaders - Extension for geoJSON and Lidar LAS Format Reader/Writer for VTK
• daviddoria/SyntheticLidarScanner - A synthetic LiDAR scanner for VTK
• SubMishMar/cam_lidar_calib - 3D-Lidar Camera Calibration using planar Point to to camera Plane Constraint
• VUKOZ-OEL/3d-forest-classic - software for analysis of Lidar data from forest environment.
• HuangCongQing/3D-LIDAR-Multi-Object-Tracking - 🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
• DaxiongAI/Object-Tracking - Object Tracking Using ROS +PCL +Kinect
• ryonaldteofilo/LidarCarTracking - Vehicle tracking using 2D point cloud data using with OpenCV and PCL (Point Cloud Library) integrated to ROS (Robot Operating System).
• Kitware/ParaView - VTK-based Data Analysis and Visualization Application
• Kitware/LidarView - LidarView performs real-time reception, recording, visualization and processing of 3D LiDAR data. This repository is a mirror of https://gitlab.kitware.com/LidarView/lidarview.
• tudelft-iv/multi_sensor_calibration -
• RuiYang-1010/efficient_online_learning - Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
• enazoe/yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
• NVIDIA/TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
• protocolbuffers/protobuf - Protocol Buffers - Google's data interchange format
• QingyongHu/SensatUrban - 🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
• horizon-research/Real-Time-Spatio-Temporal-LiDAR-Point-Cloud-Compression - This is a compression technique that targets for LiDAR-generated point cloud
• qiqihaer/RandLA-Net-pytorch - RandLA-Net's implementation with Pytorch
• hpc203/libface-sface_detect-recognition-opencv - 使用OpenCV部署libface人脸检测和SFace人脸识别，包含C++和Python两种版本的程序，仅仅只依赖OpenCV库就能运行
• hku-mars/mlcc - Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
• cnr-isti-vclab/PyMeshLab - The open source mesh processing python library
• jbeder/yaml-cpp - A YAML parser and emitter in C++
• cnr-isti-vclab/meshlab - The open source mesh processing system
• MarkMuth/QtKittiVisualizer -
• ethz-asl/kitti_to_rosbag - Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, velody
• ngoductuanlhp/GAC3D - GAC3D: Improving Monocular 3D Object Detection with Ground-Guide Model and Adaptive Convolution (PeerJ)
• sunjingnjupt/sa-voxel-centernet - A 3d LIDAR object detection model
• NVIDIA-AI-IOT/cuPCL - A project demonstrating how to use the libs of cuPCL.
• microsoft/AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
• springzfx/point-cloud-annotation-tool -
• LCAS/cloud_annotation_tool - L-CAS 3D Point Cloud Annotation Tool
• gyubeomim/simple_mono_vo_ros - Simple Monocular Visual Odometry method in ROS package (inspired by https://github.com/avisingh599/mono-vo)
• AndyYuan96/PointCloudDynamicVoxel -
• lijx10/DeepI2P - DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
• dusty-nv/jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
• hpc203/license-plate-detect-recoginition-opencv - 使用opencv部署深度学习车牌检测与识别，包含Python和C++两种版本的实现
• idealab-isu/GPView - GPU Accelerated Voxelization Framework for 3D CAD models.
• RMonica/rviz_cloud_annotation - Point cloud annotation tool based on RViz
• halostorm/PCAT_open_source - PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
• feicay/LaserNet -
• mhsung/libigl-renderer -
• ApolloAuto/apollo - An open autonomous driving platform
• hova88/PointPillars_MultiHead_40FPS - A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.
• AbangLZU/cnn_seg_lidar - Real time 3D semantic segmentation for Lidar, Ros based project
• onnx/onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
• wz940216/Win10_TensorRT_Pytorch_ONNX - Use win10 system and tensorrt to deploy the onnx model converted by pytorch
• faedtodd/Tensorrt-yolov3-win10 - onnx-tensorrt for yolov3
• ZJU-FAST-Lab/VID-Fusion - VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation
• ZJU-FAST-Lab/Fast-tracker -
• KinglittleQ/torch-batch-svd - A 100x faster SVD for PyTorch⚡️
• KangchengLiu/Feature-Geometric-Net-FG-Net - 🔥 💪 FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding
• To-Silva/3D-Mesh-Uniform-Point-Sampling - Simple header-only uniform point generator over a 3D surface
• HuangCongQing/pcl-learning - 🔥PCL（Point Cloud Library）点云库学习记录
• hanbollar/Poisson-Disk-Sampler - Fast Poisson Disk Sampling - Optimally filling in a 3D mesh with point objects randomly and evenly
• mitsuba-renderer/mitsuba2 - Mitsuba 2: A Retargetable Forward and Inverse Renderer
• MIT-SPARK/TEASER-plusplus - A fast and robust point cloud registration library
• ktgiahieu/Fast-PPF - Fast and Robust Pose Estimation Algorithm for Bin Picking Using Point Pair Feature
• ktgiahieu/PPF-MEAM - Point Pair Feature-Based Pose Estimation with Multiple Edge Appearance Models (PPF-MEAM) for Robotic Bin Picking
• OctoMap/octomap - An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
• USTC-GCL-F/AMMesh - The code of lesson “Digital Geometry Processing” with ACAM frame
• ChunyuanLI/Persistence_Diagram - Persistence Diagram for Structural Recognition
• fwilliams/point-cloud-utils - An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
• YuePanEdward/Pointcloud_Format_Transformer - A Tool for various point cloud data format transformation for well-known datasets
• facebookresearch/gtn - Automatic differentiation with weighted finite-state transducers.
• zhaoweicai/mscnn - Caffe implementation of our multi-scale object detection framework
• dxbdxx/CIPLoss - Code for <<Rethinking Loss Design for Large-scale 3D Shape Retrieval>>
• apache/mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
• wang-ps/O-CNN - This repository contains the code of our O-CNN paper.
• jlblancoc/nanoflann - nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
• microsoft/DirectML - DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported har
• TeXworks/texworks - Main codebase for TeXworks, a simple interface for working with TeX documents
• Dingyuec/3D_Model_Retrieval_Based_On_Sketches -
• joesfer/Sampler - Maya plugin implementing utility nodes to voxelize and sample geometry
• alexsax/2D-3D-Semantics - The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding
• facebookresearch/faiss - A library for efficient similarity search and clustering of dense vectors.
• facebookresearch/SparseConvNet - Submanifold sparse convolutional networks
• paulbaumgart/augment3d - Data augmentation utility for machine learning on 3D point clouds
• kanezaki/selective_search_3d -
• adrienPoulenard/MDGCNN - Multi Directional Geodesic Convolutional Neural Networks
• yangyanli/FPNN - Field Probing Neural Networks for 3D Data
• griegler/octnet - OctNet: Learning Deep 3D Representations at High Resolutions
• microsoft/O-CNN - O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
• XuyangBai/KPConv.pytorch - PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
• cgtuebingen/Flex-Convolution - Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
• aboulch/ConvPoint -
• scientificRat/pc_sampling - point cloud sampling(copy from pointnet2(Qi et al.))
• jbehley/point_labeler - My awesome point cloud labeling tool
• google-ai-edge/mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
• rickarkin/PyMesh-win - pymesh for windows
• zuoqing1988/ZQCNN-MTCNN-vs-libfacedetection - 对比ZQCNN-MTCNN与libfacedetection
• ShiqiYu/libfacedetection - An open source library for face detection in images. The face detection speed can reach 1000FPS.
• xiaolong361/HiPlayer - Hi Player Project.
• xiaolong361/PCL_Visualizer - PCL Visualizer Demo in VS2017+Qt5.12.0
• XMuli/OpenMesh - OpenMesh的源码学习和资源
• yuanming-hu/taichi_mpm - High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)
• taichi-dev/taichi - Productive, portable, and performant GPU programming in Python.
• isl-org/Open3D - Open3D: A Modern Library for 3D Data Processing
• DengMen/learnCGAL - learn cgal by demo
• CGAL/cgal - The public CGAL repository, see the README below
• CKchaos/scn2pointcloud_tool - The toolbox implements the data conversion from CAD models (such as .obj/.off file) to point cloud(surface voxels) with RGB value and labels.
• tinyobjloader/tinyobjloader - Tiny but powerful single file wavefront obj loader
• PaulBernier/obj2pcd - Very basic converter from .obj file to .pcd file (and reverse)
• jiangwei221/obj2pcd - Simple point cloud sampler for obj file
• cabraile/off2pcd -
• google/draco - Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
• PointCloudLibrary/pcl - Point Cloud Library (PCL)
• LiveStockShapeAnalysis/Point-Cloud-Processing-example - 点云库PCL从入门到精通 书中配套案例
• geliuhao/CVPR2016_HandPoseEstimation - Robust 3D Hand Pose Estimation in Single Depth Images: from Single-View CNN to Multi-View CNNs
• agentmorris/MeshTools - Tools for mesh manipulation (Voxelizer, WinMeshView)
• Shicoder/HKS - the matlab code of heat kernel signature
• szad670401/HyperLPR - 基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
• tensorflow/tensorflow - An Open Source Machine Learning Framework for Everyone
• lmb-freiburg/ogn - Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
• PyMesh/PyMesh - Geometry Processing Library for Python

CMake

• microsoft/vcpkg - C++ Library Manager for Windows, Linux, and MacOS
• Ar-Ray-code/bbox_ex_msgs - Extended message for darknet_ros_msgs
• autowarefoundation/autoware_msgs -
• bluesky-ryan/snowstorm_ros_rk3399 - RK3399 ROS麦克纳姆轮车
• ravijo/ros_zeromq_tutorial - ZeroMQ tutorial for ROS
• moveit/panda_moveit_config - The Panda robot is the flagship MoveIt integration robot
• conan-community/conan-eigen - [OBSOLETE] The recipe is now in https://github.com/conan-io/conan-center-index
• codebydant/vtk-hello-world - VTK simple hello world
• bashbug/pcl-for-android - Cross-compilation of PCL (point cloud library) for Android
• CivilNet/SYSZUX-FACE - face detect based on opencv & libdeepvac
• sophon-ai-algo/sophon-qt -
• gloryhry/Ecal-to-ROS - ARS430 Radar ROS Msg
• AXERA-TECH/ax-samples - Samples code for world class Artificial Intelligence SoCs for computer vision applications.
• yiakwy/paddle_cpp_backend - Deeply dive into c++ backend to learn Paddle IR transformation and optimization for SSAGraph
• DroidAITech/ROS-Academy-for-Beginners - 中国大学MOOC《机器人操作系统入门》课程代码示例
• RaymondZuo301/cmake_example - This is an example of CMake & C++ project.

CSS

• MingZhuLiu/ZLMediaServerManagent - ZLMediaKitServer后台管理系统

Common Lisp

• usocket/usocket - Universal socket library for Common Lisp

Cuda

• NVIDIA/CUDALibrarySamples - CUDA Library Samples
• nerfstudio-project/gsplat - CUDA accelerated rasterization of gaussian splatting
• karpathy/llm.c - LLM training in simple, raw C/CUDA
• Tony-Tan/CUDA_Freshman -
• Eddie-Wang1120/Professional-CUDA-C-Programming-Code-and-Notes - CUDA C 编程权威指南代码实现 包含了书上第二章到第八章的大部分代码实现和作者笔记，全由作者本人手动实现，难免有错误的地方，请大家谨慎参考，非常欢迎对错误的指正。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！
• Dao-AILab/causal-conv1d - Causal depthwise conv1d in CUDA, with a PyTorch interface
• UofT-EcoSystem/Minuet - [EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs
• dkotfis/Octree-SLAM - Large octree map construction and rendering with CUDA and OpenGL
• HKUST-Aerial-Robotics/open_quadtree_mapping - This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"
• sankin97/HMFI - [ECCV2022] Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
• botforge/CUDA-ScanMatcher-ICP - A high performance CUDA implementation of Scan Matching via the Iterative Closest Point Algorithm
• aosewski/RidgeDetection - Parallel implementation of the ridge detection algorithm for curve reconstruction in CUDA
• naraharip2017/ros_tsdf -
• ZhenshengLee/ga_points_downsampler - ros package points_downsampler using cupoch api
• uga-ssrl/SSRLCV - The UGA SSRL's Computer Vision Software Collection
• DefTruth/CUDA-Learn-Notes - 📚150+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).
• Abyssaledge/TorchEx - Collection of PyTorch customized operators.
• jingyue202205/SE-SSD-AI-TRT - SE-SSD ALL IN TensorRT,NMS not implemented in TensorRT,implemented in c++
• BBuf/how-to-optim-algorithm-in-cuda - how to optimize some algorithm in cuda.
• jingyue202205/CIA-SSD-AI-TRT - CIA-SSD ALL IN TensorRT,NMS not implemented in TensorRT,implemented in c++
• rscgg37248/DeepStream6.0_Yolov5-6.0 - 基于DeepStream6.0和yolov5-6.0的目标检测
• xuqiantong/CUDA-Winograd - Fast CUDA Kernels for ResNet Inference.
• mit-han-lab/torchsparse - [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
• chengdazhi/Deformable-Convolution-V2-PyTorch - Deformable ConvNets V2 (DCNv2) in PyTorch
• GCaptainNemo/Cuda-Image-Processing - Using CUDA GPU Programming to speed up image processing.
• cudpp/cudpp - CUDA Data Parallel Primitives Library
• xcyuyuyu/My-First-CUDA-Code - The introduction to cuda, a simple and easy cuda project
• NVIDIA/cub - [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
• hangg7/deformable-kernels - Deforming kernels to adapt towards object deformation. In ICLR 2020.
• ftdlyc/splatnet_pytorch - Unofficial partial implemention of SplatNet
• lijx10/KNN_CUDA - pytorch knn [cuda version]
• EnyaHermite/psicnn - Octree guided cnn with spherical kernels for 3D point clouds

Cython

• strawlab/python-pcl - Python bindings to the pointcloud library (pcl)

D

• gnunn1/tilix - A tiling terminal emulator for Linux using GTK+ 3

Dockerfile

• jaywcjlove/reference - 为开发人员分享快速参考备忘清单(速查表)
• PINTO0309/Open3D-build - Provide Docker build sequences of Open3D for various environments.
• openvinotoolkit/docker_ci - The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
• osrf/docker_images - A repository to hold definitions of docker images maintained by OSRF
• davibe/docker-gstreamer-raspbian-build - Building latest git version of gstreamer and plugins for raspberry pi (raspbian)
• codebydant/pcl-docker - Point Cloud Library docker container
• cartesi/image-toolchain - Image with RISC-V toolchains
• all-in-simplicity/openresty-rtmp-ffmpeg-api - Example implementation of a dockerized Media Streaming Server powered by nginx-rtmp, ffmpeg and a Go API
• Ar-Ray-code/darknet_ros_fp16 - darknet + ROS2 Humble + OpenCV4 + CUDA 11（cuDNN, Jetson Orin）
• autowarefoundation/autoware - Autoware - the world's leading open-source software project for autonomous driving

EJS

• Fechin/reference - ⭕ Share quick reference cheat sheet for developers.

Fortran

• Kinghoz/ARMSparse -

GLSL

• IRONKAGE/Source-Code_ShaderX_GPU-Pro_GPU-Zen - Source Code of Book: ShaderX, GPU Pro, GPU Zen - wrote Wolfgang Engel, collected Oleh Hatsenko (IRONKAGE)

Go

• syncthing/syncthing - Open Source Continuous File Synchronization
• qax-os/excelize - Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
• fatedier/frp - A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
• orestonce/m3u8d - m3u8视频下载工具, 提供windows/macos图形界面, 下载后自动将ts文件合并、转换格式为mp4
• tickstep/cloudpan189-go - 天翼云盘命令行客户端(CLI)，基于GO语言实现
• bluenviron/mediamtx - Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.
• zhaojh329/rttys - Access your device's terminal from anywhere via the web.
• halfrost/LeetCode-Go - ✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
• getlantern/lantern - Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، ا
• sql-machine-learning/sqlflow - Brings SQL and AI together.

HTML

• spectral-compute/scale-docs -
• aakashjuseja-aj/Sparse_to_Dense -
• Tsinghua-MARS-Lab/DriveVLM -
• NVlabs/M2BEV -
• sophgo/tpu_compiler - cvitek ai compiler base on MLIR
• OpenDriveLab/DriveLM - [ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
• lqfarmer/Awesome-DeepLearning-500FAQ - 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions
• sangnekim/SMPConv - [CVPR2023] "SMPConv: Self-moving Point Representations for Continuous Convolution"
• cgye96/3dfsl.github.io - project page of few-shot learning for 3d point cloud classification
• fanyang3/fanyang3.github.io -
• VITA-Group/SLaK - [ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"
• Oneflow-Inc/oneflow-yolo-doc - https://start.oneflow.org/oneflow-yolo-doc
• yushen-liu/yushen-liu.github.io - 刘玉身的个人主页
• moveit/moveit_tutorials - A sphinx-based centralized documentation repo for MoveIt
• boostorg/boost - Super-project for modularized Boost
• zhukao/AI-EXPRESS -
• Ghostish/MM-Track - The project page of MMTrack (CVPR2022 ORAL)
• PaddlePaddle/VisualDL - Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
• ADu2021/REKCARC-TSC-UHT - 清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
• once-for-auto-driving/once-for-auto-driving.github.io - webpage for the ONCE dataset
• HuangCongQing/multi-sensor-fusion - 多传感器融合（lidar radar camera）
• EbookFoundation/free-programming-books - 📚 Freely available programming books
• eborboihuc/Mono-3DT - Webpage of Joint Monocular 3D Detection and Tracking
• hellotrik/hellotrik.github.io -
• JsBlueCat/JsBlueCat.github.io -
• geoml/geoml.github.io -

Java

• macrozheng/mall - mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
• krahets/hello-algo - 《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
• Tirklee/GitHub-Chinese-Top-Charts -
• RaiMan/SikuliX1 - SikuliX version 2.0.0+ (2019+)
• apache/hertzbeat - Apache HertzBeat(incubating) is a real-time monitoring system with agentless, performance cluster, prometheus-compatible, custom monitoring and status page building capabilities.
• dromara/dynamic-tp - 🔥🔥🔥轻量级动态线程池，内置监控告警功能，集成三方中间件线程池管理，基于主流配置中心（已支持Nacos、Apollo，Zookeeper、Consul、Etcd，可通过SPI自定义实现）。Lightweight dynamic threadpool, with monitoring and alarming functions, base on popular config centers (al
• panyingyun/vtkandroiddemo - CMake Cross Build VTK for Android Application
• sjsdfg/dl4j-tutorials - dl4j 基础教程 配套视频：https://space.bilibili.com/327018681/#/
• deeplearning4j/deeplearning4j-examples - Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
• deeplearning4j/deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math c
• extreme-assistant/LeetCode - LeetCode刷题记录
• Baidu-AIP/EasyDL-Segmentation-Demo - EasyDL图像分割调用示例

JavaScript

• aurora-opensource/streetscape.gl - Visualization framework for autonomy and robotics data encoded in XVIZ
• open-webui/open-webui - User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
• NginxProxyManager/nginx-proxy-manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
• bgstaal/multipleWindow3dScene - A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage
• OpenGeoscience/geojs - High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets
• AIR-DISCOVER/Hint-AD - CoRL2024 | Hint-AD: Holistically Aligned Interpretability for End-to-End Autonomous Driving
• huggingface/transformers.js - State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
• kahowang/lab-3dslam-plotform -
• stephendade/Rpanion-server - Web-based configurator for companion computers of MAVLink vehicles
• HGao-cv/VADv2 - project page of "VAD v2: LLM-Like Probabilistic Modeling in End-to-End Autonomous Driving"
• DiT-3D/FastDiT-3D -
• drive-anywhere/drive-anywhere.github.io -
• SharpAI/DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
• tjy-gitnub/win12 - Windows 12 网页版，在线体验 点击下面的链接在线体验
• OpenMask3D/openmask3d.github.io -
• pmonta/FPGA-netlist-tools - Tools for emulating transistor-level netlists on FPGAs
• NaiboWang/EasySpider - A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。
• coperception/where2comm - [NeurIPS 2022] Where2comm
• brunosimon/folio-2019 -
• waveform80/pistreaming - A little demo of streaming the Pi's camera to web browsers
• cruise-automation/webviz - web-based visualization libraries
• dheera/rosboard - ROS node that turns your robot into a web server to visualize ROS topics
• potree/potree - WebGL point cloud viewer for large datasets
• alwxkxk/soft-and-hard - 《软硬结合——从零打造物联网》 基于JS的物联网教程。
• PaddlePaddle/Paddle.js - Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from p
• ZhangGe6/onnx-modifier - A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
• lutzroeder/netron - Visualizer for neural network, deep learning and machine learning models
• AlexGeControl/3D-Point-Cloud-Analytics - Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China
• naurril/SUSTechPOINTS - 3D Point Cloud Annotation Platform for Autonomous Driving
• Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor - Web labeling tool for bitmap images and point clouds
• jgraph/drawio-desktop - Official electron build of draw.io
• teadocs/matplotlib-cn - matplotlib中文文档
• daerduoCarey/partnet_anno_system - PartNet 3D Web-based Shape Parts Annotation System
• xu-pu/ptx-learning-log - my ramdom learning code
• scutan90/DeepLearning-500-questions - 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.0

Jupyter Notebook

• facebookresearch/sam2 - The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the m
• auniquesun/Point-PRC - [NeurIPS 2024] Official implementation of the paper "Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis"
• abdullahtarek/tennis_analysis - This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect players and the tennis ball using YOLO and also utilizes CNNs to e
• huahuasousou/dair_v2x_i_dataset_vis - For visualizing the dair-v2x-i dataset
• naklecha/llama3-from-scratch - llama3 implementation one matrix multiplication at a time
• TommyZihao/vlm_arm - 机械臂+大模型+多模态=人机协作具身智能体
• KindXiaoming/pykan - Kolmogorov Arnold Networks
• borglab/gtsfm - End-to-end SFM framework based on GTSAM
• spmallick/learnopencv - Learn OpenCV : C++ and Python Examples
• modelscope/facechain - FaceChain is a deep-learning toolchain for generating your Digital-Twin.
• Eddie-Wang1120/HPC-Learning-Notes - 高性能计算相关知识学习笔记，包含学习笔记和相关知识的代码demo，在持续完善中。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！
• chensjtu/GaussianObject - GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)
• camenduru/YoloWorld-EfficientSAM-jupyter -
• microsoft/autogen - A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
• datawhalechina/leedl-tutorial - 《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
• Stability-AI/StableCascade - Official Code for Stable Cascade
• HorizonRobotics/Sparse4D -
• hustvl/4DGaussians - [CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
• baaivision/tokenize-anything - [ECCV 2024] Tokenize Anything via Prompting
• lyogavin/airllm - AirLLM 70B inference with single 4GB GPU
• MarkFzp/mobile-aloha - Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
• tusen-ai/EchoFusion -
• chenzomi12/AISystem - AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
• IDEA-Research/Grounded-Segment-Anything - Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
• chongzhou96/EdgeSAM - Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
• megvii-research/Far3D - [AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection
• opendilab/LMDrive - [CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models
• yformer/EfficientSAM - EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
• VanjeeBeiyanDeepModelDevelopingGroup/Innovusion_Lidar_Camera_Radar_Last_Stage_Fusion_Perception -
• cggos/state_estimation - State Estimation for SLAM: Filter(EKF, Particle Filter), MAP(GN, LM), Solver(Ceres-Solver, G2O, GTSAM), Bundle Adjustment
• Rickyyy-zh/yolov7_3d - Baidu Rope3d detector based on yolov7
• hady1011/OrthoNets - Orthogonal Channel Attentions Networks
• Fudan-ProjectTitan/OpenAnnotate3D - OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal Data
• sesmfs/360-Surround-View-CUDA-Project - 10000 fps 🚀 for 360 Surround-View CUDA Solution
• dvlab-research/3D-Box-Segment-Anything - We extend Segment Anything to 3D perception by combining it with VoxelNeXt.
• xiaobin1231/Fall-Detection-By-YOLOV3-and-LiteFlowNet -
• huawei-noah/Efficient-Computing - Efficient computing methods developed by Huawei Noah's Ark Lab
• NirAharon/BoT-SORT - BoT-SORT: Robust Associations Multi-Pedestrian Tracking
• LeapLabTHU/LAUDNet - [IEEE TPAMI] Latency-aware Unified Dynamic Networks for Efficient Image Recognition
• WWangYuHsiang/SMILEtrack -
• xinyu1205/recognize-anything - Open-source and strong foundation image recognition models.
• syncdoth/RetNet - Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent, and chunkwise forward.
• open-mmlab/mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generatio
• google-ai-edge/mediapipe-samples -
• yossilevii100/EPiC - Ensemble of Partial Points Clouds for Robust Classification
• THU-MIG/RepViT - RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything
• ChaoningZhang/MobileSAM - This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
• NVlabs/RVT - Official Code for RVT-2 and RVT
• OpenDriveLab/OpenLane-V2 - [NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
• Deci-AI/super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
• mingj2021/segment-anything-tensorrt -
• z-x-yang/Segment-and-Track-Anything - An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for k
• facebookresearch/segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
• jediofgever/PointNet_Custom_Object_Detection - A project that show cases, train and testing of PointNet with custom objects/datasets
• MediaBrain-SJTU/LED - [CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction
• openai/CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
• zlwq/-pdf - 编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringC
• google/automl - Google Brain AutoML
• threedle/text2mesh - 3D mesh stylization driven by a text input in PyTorch
• unmannedlab/RELLIS-3D - RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
• atonderski/lidarclip - Bridging lidar and text through image intermediaries
• qq456cvb/CPPF - CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild (CVPR2022)
• mindspore-courses/d2l-mindspore - 《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
• xmba15/obstacle_detection_stixelnet - stixelnet for obstacle region detection of road scenes
• AlbinZhu/yolov7-polygon-detection - yolov7-polygon-detection
• NVIDIA-AI-IOT/tao_toolkit_recipes -
• CodingSheep1229/openpilot-lane-detection - an end to end lane detection based on openpilot model https://comma.ai/
• Divadi/simple_plot3d - A simple 3D & BEV visualizer for point clouds and 3D boxes.
• StanfordASL/Trajectron-plus-plus - Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* d
• AnshMittal1811/MachineLearning-AI - This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
• ApolloScapeAuto/dataset-api - The ApolloScape Open Dataset for Autonomous Driving and its Application.
• Chinmayrane16/ReconNet-PyTorch - A non-iterative algorithm to reconstruct images from compressively sensed measurements.
• open-mmlab/OpenMMLabCourse - OpenMMLab course index and stuff
• Xilinx/BNN-PYNQ - Quantized Neural Networks (QNNs) on PYNQ
• IntelLabs/distiller - Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
• miracleyoo/pytorch-lightning-template - An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all
• onnx/tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
• WongKinYiu/yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
• meituan/YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
• ai4ce/EgoPAT3D - [CVPR 2022] Egocentric Action Target Prediction in 3D
• ydwen/opensphere - A hyperspherical face recognition library based on PyTorch
• SrinjaySarkar/Convolutional-Occupancy-Nets - Pytorch re-Implementation of Convolutional Occupancy networks
• ohhhyeahhh/PointAttN - Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"
• zju3dv/pvnet - Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
• ZJULearning/PI-RCNN - OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
• abcSup/NotEnoughSleepAI - Implementation of the Multi-Task Multi-Sensor Fusion for 3D Object Detection paper by Uber
• bostondiditeam/MV3D - Multi-View 3D Object Detection Network for Autonomous Driving
• RishiTejaMadduri/VoxelNet_PyTorch -
• Aman-Preet-Singh-Gulati/Vehicle-count-detect -
• enpeizhao/CVprojects - computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
• HuangCongQing/3D-Point-Clouds - 🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
• digantamisra98/Mish - Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
• feiran-l/rotation-invariant-pointcloud-analysis - pointcloud analysis
• udacity/self-driving-car - The Udacity open source self-driving car project
• dkoguciuk/ensemble_learning_for_point_clouds - Code snippets used in the paper: 3D Object Recognition with Ensemble Learning—A Study of Point Cloud-Based Deep Learning Models
• falloutdurham/beginners-pytorch-deep-learning - Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
• seanhuang5104/OFFtoH5 - Convert ModelNet .OFF files to .h5 files for PointCoud project
• anucvml/ddn - Deep Declarative Networks
• lixin4ever/Conference-Acceptance-Rate - Acceptance rates for the major AI conferences
• bmild/nerf - Code release for NeRF (Neural Radiance Fields)
• kuixu/kitti_object_vis - KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
• mileyan/pseudo_lidar - (CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
• ajhamdi/AdvPC - AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)
• donglaiw/ibexHelper -
• tensorfieldnetworks/tensorfieldnetworks -
• google-research/vision_transformer -
• brian-h-wang/LDLS - LDLS (Label Diffusion LiDAR Segmentation) algorithm for instance segmentation of LiDAR point clouds.
• RayleighChen/point-attention -
• google-research/google-research - Google Research
• szagoruyko/pytorchviz - A small package to create visualizations of PyTorch execution graphs
• dragen1860/Deep-Learning-with-TensorFlow-book - 深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
• NVIDIA-AI-IOT/deepstream_python_apps - DeepStream SDK Python bindings and sample applications
• imistyrain/MTCNN - Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS
• google-research-datasets/Objectron - Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera
• manzilzaheer/DeepSets -
• microsoft/computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
• SeungyounShin/EXTD - EXTD :: Extremely Tiny Face Detector via Iterative Filter Reuse
• liuwei16/CSP - High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
• TropComplique/mtcnn-pytorch - Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
• sergeyprokudin/bps - Efficient Learning on Point Clouds with Basis Point Sets
• ximitiejiang/MyCodeForPytorch - deep learning examples by pytorch implement
• azy1988/ML-CV - 机器学习实战
• PointCloudYC/PointCloud-Architectures - Implementation of SOTA Point Cloud Deep Learning Networks Using TensorFlow(TF) 2 or Pytorch
• liyuan24/MHBNN-PyTorch - Pytorch version of multi-view harmonized bilinear network for 3D object recognition
• Zengyi-Qin/Weakly-Supervised-3D-Object-Detection - Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
• lightaime/cs231n - cs231n assignments sovled by https://ghli.org
• tensorflow/docs - TensorFlow documentation
• skorch-dev/skorch - A scikit-learn compatible neural network library that wraps PyTorch
• simon3dv/PointNet1_2_pytorch_reproduced - Not finished yet, please wait.
• zylo117/Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
• 21-projects-for-deep-learning/MyBook -
• google-deepmind/3d-shapes - This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2
• jonathanmasci/EG16_tutorial - Demo material for the EG16 tutorial on "Deep learning for 3D shape analysis"
• kimdongsuk1/GCNN - Geodesic Convolutional Neural Network
• ctralie/NonrigidFusion -
• AIZOOTech/FaceMaskDetection - 开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
• FighterLYL/GraphNeuralNetwork - 《深入浅出图神经网络：GNN原理解析》配套代码
• graphdeeplearning/benchmarking-gnns - Repository for benchmarking graph neural networks
• cocodataset/cocoapi - COCO API - Dataset @ http://cocodataset.org/
• tensorflow/examples - TensorFlow examples
• wshzd/tensorflow - tensorflow framework(include 1.x and 2.x)
• roboticslab-uc3m/textiles - Research on algorithms for garment perception, manipulation...
• daerduoCarey/structurenet - StructureNet: Hierarchical Graph Networks for 3D Shape Generation
• yee379/uresnet-tomo-seg - uresnet based deep neutral network for the segmentation of high resolution cryo-EM tomographs
• SamuelStentz/Graph-Convolutional-Neural-Network -
• anon767/3D_GAN - 3D Voxel Interpolation using Generative Adverserial Neural Networks
• mdeff/cnn_graph - Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
• Ryanglambert/3d_model_retriever - Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD)
• tensorflow/tpu - Reference models and tools for Cloud TPUs.
• dragen1860/TensorFlow-2.x-Tutorials - TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
• fastai/fastai - The fastai deep learning library
• zotroneneis/machine_learning_basics - Plain python implementations of basic machine learning algorithms
• BinRoot/TensorFlow-Book - Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
• zzh8829/yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

KiCad Layout

• vedderb/bldc-hardware - Brushless DC Motor controller from Benjamin Vedder

Kotlin

• emqx/MQTT-Client-Examples - MQTT Client Examples

LLVM

• EnzymeAD/Enzyme - High-performance automatic differentiation of LLVM and MLIR.
• llvm/llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Lua

• JiehongLin/CorrReg - Code for paper "Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers"
• LONG-9621/3DCNN -
• griegler/octnetfusion -
• ericyi/SyncSpecCNN - Synchronized Spectral CNN for 3D Shape Segmentation.
• charlesq34/3dcnn.torch - Volumetric CNN for feature extraction and object classification on 3D data.

MATLAB

• ivaquero/book-control - DR_CAN 哔站系列课程笔记 + 代码
• wanghuohuo0716/hybrid_A_star - 本仓库是对混合A*算法的matlab复现
• ai-winter/matlab_motion_planning - Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, LQR, MPC, APF, RPP, DWA, DDPG
• scott89/KCF - Source code for "high-speed tracking with kernelized correlation filters"
• yuxng/MDP_Tracking - Learning to Track: Online Multi-Object Tracking by Decision Making
• JunaidCS032/MOTBeyondPixels - Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)
• martin-danelljan/ECO - Matlab implementation of the ECO tracker.
• matlab-deep-learning/Lidar-object-detection-using-complex-yolov4 - Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB
• radar-lab/autolabelling_radar - Automatic Radar-Camera Dataset Generation for Sensor-Fusion Applications
• TadasBaltrusaitis/OpenFace - OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
• giyoungjeon/ANAP - The implementation of Adaptive As-Natural-As-Possible Image Stitching
• YaqiLYU/AANAP - An implementation of AANAP in CVPR 2015 paper.
• gorchard/DVScalibration - Matlab functions to help with DVS calibration using the Caltech Camera Calibration Toolbox (from http://www.vision.caltech.edu/bouguetj/calib_doc/ )
• zhangyujie-1998/MS_GraphSIM -
• cwi-dis/pointpca -
• MIT-SPARK/CertifiablyRobustPerception - Certifiable Outlier-Robust Geometric Perception
• ZouCheng321/fusion_kitti -
• chengz3906/View-Discerning-Network -
• sinhayan/learning_geometry_images -
• lmb-freiburg/orion - ORION: Orientation-boosted Voxel Nets for 3D Object Recognition
• rsong/CFSCNN -
• nivha/surface_networks_covers -
• phi-max/skeleton3d-matlab - MATLAB code to calculate the 3D skeleton of a binary volume using parallel medial axis thinning
• pdollar/toolbox - Piotr's Image & Video Matlab Toolbox
• zhangliliang/RPN_BF - RPN+BF
• sfzhang15/SFD - S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
• kpzhang93/MTCNN_face_detection_alignment - Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
• peiyunh/tiny - Tiny Face Detector, CVPR 2017
• wangchu1/dscnn -
• mrezanejad/AOFSkeletons - 2-D Medial Axis (Matlab Code Implementation of 2D Skeletons)
• KAIST-vilab/SpherePHD_public -
• MEnesAtik/matlab_3d_keypoints - Matlab implementation of ISS keypoint detectors for point cloud
• charlesq34/3dmodel_feature - Code for extracting 3dcnn features of CAD models
• suyunzzz/pointCloudsClassification - Classifying different point clouds of objects on the road (cars, pedestrians, bikes...) using SVMs.
• bgshih/deeppano - Panorama projection code for paper DeepPano: Deep Panoramic Representation for 3D Shape Recognition
• zeaggler/ModelNet_OFF2MAT - You can easily generate mat files with different views from off file
• nazikus/nyu-seg - CIMET M.Sc. thesis "Image Segmentation from Color and Depth Information" Adapted from NYU Dataset V2
• yuxng/ObjectNet3D_toolbox - Toolbox for ObjectNet3D
• Shicoder/Non-rigid-3D-Object-Retrieval-with-a-Learned-Shape-Descriptor - 我的硕士论文“Non-rigid 3D Object Retrieval with a Learned Shape Descriptor”代码
• rlit/SupervisedBoF - Learn bag-of-feature descriptors for content based retrieval (not only for 3D shape)
• gilShamai/Fast-Pairwise-Geodesic-Distance-Computation - Matlab code for a fast computation of pairwise geodesic distances on 3D triangle meshes, and on point clouds of any dimension
• ChunyuanLI/spectral_descriptors - A collection of spectral descriptors for 3D meshed surfaces
• jhonykaesemodel/compact_3D_reconstruction - Code for the paper "Compact Model Representation for 3D Reconstruction"
• eriche2016/utils_for_3d_research -
• suhangpro/mvcnn - Multi-view CNN (MVCNN) for shape recognition

MLIR

• Xilinx/mlir-aie - An MLIR-based toolchain for AMD AI Engine-enabled devices.
• iree-org/iree-nvgpu -
• bytedance/byteir - A model compilation solution for various hardware

Makefile

• liruihui/PU-GAN - PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019
• isongxw/Qt-VTK-Demo -
• buildroot/buildroot - Buildroot, making embedded Linux easy. Note that this is not the official repository, but only a mirror. The official Git repository is at https://gitlab.com/buildroot.org/buildroot/. Do not open issu
• Y-pandaman/miivii_gmsl_camera -
• zherlock030/YOLOv5_Torchscript - C++ code for running a yolov5s model.
• KeeganRen/FaceReconstruction - Facial Landmark Detection and head pose compute use dlib, Real time Face Reconstruction use 3D Morphable Face Model fitting
• kimeguida/Open3D_2019-02-13 - Point cloud registration (open3d.org)

Markdown

• codecrafters-io/build-your-own-x - Master programming by recreating your favorite technologies from scratch.
• labuladong/fucking-algorithm - 刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Mojo

• modularml/mojo - The Mojo Programming Language

Objective-C

• keycastr/keycastr - KeyCastr, an open-source keystroke visualizer
• csm-forklift/ouster_example - Ousters ROS package, old version

OpenEdge ABL

• libing64/learning_rtklib -

Others

• Amyyyy11/3D-Registration-in-30-Years-A-Survey -
• flink-china/flink-training-course - Flink 中文视频课程（持续更新...）
• miss-mumu/developer2gwy - 公务员从入门到上岸，最佳程序员公考实践教程
• Ilya-Fradlin/Interactive4D -
• ShiPC-AI/LPR-Survey - A survey of LiDAR-based place recognition
• GYee/CV_interviews_Q-A - CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！
• MIT-SPARK/KISS-Matcher -
• nv-dvl/segment-anything-lidar - [ECCV 2024] Better Call SAL: Towards Learning to Segment Anything in Lidar
• JokerJohn/MS-Mapping - [ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
• StiphyJay/LiDAR-PTQ - ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.
• Z-Pengcheng/MGS-SLAM -
• HeKun-NVIDIA/TensorRT-Developer_Guide_in_Chinese -
• neu-autonomy/FeatureLIOM - Official Implementation of Feature Extractor for DFLIOM
• WeitaiKang/Robin3D - Improving 3D Large Language Model via Robust Instruction Tuning
• hku-mars/M2Mapping - A MultiModal Mapping (M2Mapping) Framework for LiDAR-Visual Systems
• changshuowang/GPSFormer - This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding"(ECCV2024)
• hku-mars/FAST-LIVO2 - FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
• zympsyche/BevWorld -
• NVlabs/Hydra-MDP -
• XiudingCai/Awesome-Mamba-Collection - A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.
• ActiveVisionLab/Awesome-LLM-3D - Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
• yxzhang15/PCR -
• LLMBook-zh/LLMBook-zh.github.io - 《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣
• PKU-YuanGroup/ChatLaw - ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型
• GongWeiSheng/DIDLM -
• ntnu-arl/lidar_degeneracy_datasets - LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
• ldtho/DifFUSER - DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
• ZhongqunZHANG/awesome-6d-object - Awesome work on object 6 DoF pose estimation
• Taeyoung96/Awesome-LiDAR-IMU-calibration - 😎 A current list of LiDAR-IMU calibration method
• 4DVLab/OctreeOcc - Official implement for paper "OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries"
• DoongLi/awesome-NeRF-and-3DGS-SLAM - A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
• autodriving-heart/Awesome-interview-questions-on-Autonomous-Driving - Awesome-interview-questions-on-Autonomous-Driving
• FengZicai/LSK3DNet - This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at CVPR 2024).
• ryhnhao/RCooper - [CVPR2024] Dumped repo of "RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception"
• autodriving-heart/CVPR-2024-Papers-Autonomous-Driving - CVPR 2024 Papers Autonomous Driving
• Chrisz236/llm-rk3588 - Run Large Language Models on RK3588 with GPU-acceleration
• afshinea/stanford-cs-230-deep-learning - VIP cheatsheets for Stanford's CS 230 Deep Learning
• LMD0311/Awesome-World-Model - Collect some World Models for Autonomous Driving papers.
• HaydenYu/MM-Point - MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding (AAAI 2024)
• Little-Podi/Collaborative_Perception - This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
• 315386775/DeepLearing-Interview-Awesome-2024 - AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目
• IrohXu/Awesome-Multimodal-LLM-Autonomous-Driving - [WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving
• Cc-Hy/UniVision -
• OpenPerceptionX/Openpilot-Deepdive - Our insights of Openpilot, a deepdive project on it
• autodriving-heart/Awesome-Autonomous-Driving - awesome-autonomous-driving
• diffusion-facex/FaceX -
• jiawen-zhu/TrackGPT - Tracking with Human-Intent Reasoning
• OpenShapeLab/ShapeGPT - ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model, a unified and user-friendly shape-language model
• Chopper-233/Anomaly-ShapeNet - Official Anomaly-ShapeNet
• Thinklab-SJTU/Awesome-LLM4AD - A curated list of awesome LLM for Autonomous Driving resources (continually updated)
• autodriving-heart/Awesome-BEV-Perception - Awesome-BEV-Perception
• achao-c/MMFusion - The official implementation of MMFusion.
• youw3/AI-Algorithm-Engineer-s-Manual - AI算法工程师手册 作者网站http://www.huaxiaozhuan.com/
• nv-tlabs/3DiffTection -
• SpeechifyInc/Meta-voicebox - Implementation of Meta-Voicebox : The first generative AI model for speech to generalize across tasks with state-of-the-art performance.
• creapunk/CLN-ClosedLoopNemaDriver - Compact closed-loop stepper motor driver designed for NEMA motors
• zchrissirhcz/awesome-ncnn - 😎 A Collection of Awesome NCNN-based Projects
• liangyn22/MCUFormer - [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
• SherryJYC/paper-MTMC - A repo of awesome papers about multi target multi camera tracking
• Shaoqing26/FusionPainting -
• youngfly/Dynamic-Adjustment-Fusion - 3D multi-modal detection
• AndyYuan96/YZLFusion -
• chenchaoxu/UtransFusion -
• ADLab-AutoDrive/FusionFormer -
• rockywind/RCFormerV2 -
• JinglinZhan/Real-Aug - Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection
• adept-thu/CAMO-MOT - Official code of CAMO-MOT
• darkpgmr/DarkLabel - Video/Image Labeling and Annotation Tool
• Radar-Camera-Fusion/Awesome-Radar-Camera-Fusion - Radar Camera Fusion in Autonomous Driving
• Little-Podi/Transformer_Tracking - This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
• weipingxiao/BSAODet - Balanced Sample Assignment and Objective for Single-model Multi-class 3D Object Detection
• sankin97/LoGoNet - [CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
• IranQin/SupFusion - This is the official code of the paper "SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection"
• url-kaist/Patchwork2 - Are you ready for fast and robust ground-segmentation for all terrain robots?
• laisimiao/3D-VL-SOT -
• memberRE/Collaborative-Perception -
• dongzhenwhu/Research-Groups-of-Point-Cloud-Processing - 国内外点云处理著名的研究小组和学者
• gotonote/Autopilot-Notes - 自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.
• openlm-research/open_llama - OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
• tdzdog/SEFormer - AAAI2023: SEFormer: Structure Embedding Transformer for 3D Object Detection
• OpenPerceptionX/PersFormer_3DLane - [ECCV2022 oral] Perspective Transformer on 3D Lane Detection
• xiaoaoran/3d_url_survey - (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
• lxtGH/Awesome-Segmentation-With-Transformer - [T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey
• jinlong17/V2VLC -
• cmhungsteve/Awesome-Transformer-Attention - An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
• jiaweihe1996/BA-Det - (CVPR 2023) Official PyTorch implementation of the paper: 3D Video Object Detection with Learnable Object-Centric Global Optimization.
• amusi/ICCV2023-Papers-with-Code - ICCV 2023 论文和开源项目合集
• Liz66666/GPA3D - [ICCV 2023] GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
• chaytonmin/Awesome-BEV-Perception-Multi-Cameras - Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
• jianrenw/PanoNet3D -
• xiaoaoran/3D_label_efficient_learning - Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"
• jiaweihe1996/BA2-Det -
• OpenDriveLab/End-to-end-Autonomous-Driving - [IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
• szenergy/awesome-lidar - 😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
• PeterJaq/Awesome-Autonomous-Driving -
• yanyitech/coolpi_4B_docs -
• axlrose/rkdocs - RockChip RK3588 BSP Documents
• landyxu/FastViT - Our objective is to combine the strengths of ViT, CNN, and GNN to create FastViT, a lightweight and efficient net-work that outperforms CNN-based models and has fewer parameters and a shorte
• ifzhang/ByteTrack-V2 -
• yinjunbo/3DVID - LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention (CVPR20)
• fishros/d2l-ros2 - 动手学ROS2课程配套教程，欢迎关注公众号《鱼香ROS》
• colorfulfuture/GC-VRNN -
• MediaBrain-SJTU/TBP-Former -
• mushan0x0/AI0x0.com - 一个多模态多模型通用型的全局全能 AI 查询生成桌面悬浮助手应用
• yokinglou/CRIN - The repo of AAAI-23 paper: "CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame".
• weakmono3d/weakmono3d -
• teddyluo/motion-planning-chs - 运动规划综述中文翻译
• jialeli1/lidarperception3d - A generic repository for LiDAR 3D perception in autonomous driving scenarios such as segmentation, detection, etc. Also the official implementation of ECCV2022 paper (Self-Distillation for Robust LiDA
• lymhust/awesome-parking-slot-detection - papers and codes about parking slot detection
• SysCV/TrafficBots - TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. Code is now available at https://github.com/zhejz/TrafficBots
• ai4ce/V2X-Sim - [RA-L2022] V2X-Sim Dataset and Benchmark
• changh95/visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023
• apoorv-ml/Vision-RADAR-Fusion-BEV-Survey - Vision-RADAR fusion for Robotics BEV Perception: A Survey
• apoorv-ml/VisionBEVDetectionSurvey -
• luanshiyinyang/awesome-multiple-object-tracking - Resources for Multiple Object Tracking (MOT)
• JudasDie/Comparison - Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)
• MohamedNagyMostafa/KITTI-MOT.Bench-Evals - KITTI evaluation results for multi-object tracking using detectors with different performance.
• apoorv-ml/Transformers-Sensor-Fusion - This repo holds trending techniques for sensor fusion task using Transformers
• 7-sevens/Developer-Books - 编程开发相关书单列表整理
• wangx1996/Lidar-Ground-Segmantation-Paper-List - Collect paper about ground segmentation in 3D point cloud.
• StiphyJay/FastPillars - FastPillars: A Deployment-friendly Pillar-based 3D Detector
• iDoka/awesome-canbus - 🚛 Awesome CAN bus tools, hardware and resources for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.
• kuba-moo/mt7601u - Linux mac80211-based driver for Mediatek MT7601U USB bgn WiFi dongle
• coderonion/awesome-yolo-object-detection - 🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
• gigo-team/bev_lane_det -
• amusi/awesome-lane-detection - A paper list of lane detection.
• ajhamdi/vointcloud - Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
• LeapLabTHU/Text4Point -
• google-research/tuning_playbook - A playbook for systematically maximizing the performance of deep learning models.
• hku-mars/lidar_car_platfrom -
• unmannedlab/LiDARNet - LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation
• Inspur-Autodrive/Inspur_DABNet4D - This method performs 3D object detection in the BEV space using images from multiple cameras.
• thunlp/PLMpapers - Must-read Papers on pre-trained language models.
• industrialtablet/RK3588-Development-Board - This repository is RK3588 Development Board Documents from HYY Technology Co.,Ltd.
• HeBangYan/PF-Attack - The code for AAAI2023 (Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization)
• AngelLM/Thor - DIY 3D Printable Robotic Arm
• tensorflow/mlir - "Multi-Level Intermediate Representation" Compiler Infrastructure
• faridghm/Meta-SeL -
• chinaBerg/awesome-canvas - Canvas资源库大全中文版。An awesome Canvas packages and resources.
• fengzhenHIT/OpenCV_Projects - OpenCV实现计算机视觉项目
• beedotkiran/Lidar_For_AD_references - A list of references on lidar point cloud processing for autonomous driving
• LeoQLi/Lidar_For_AD_references - A list of references on lidar point cloud processing for autonomous driving
• fpthink/GraphCut - Learning Superpoint Graph Cut for 3D Instance Segmentation
• LittlePey/Semi-Sampling - Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
• eclipse-threadx/samples - A collection of complete sample workspaces and projects for popular development boards from ST, NXP, Renesas, Microchip and Microsoft using popular IDEs and toolchains, including IAR, ARM, STM32CubeID
• nhivp/Awesome-Embedded - A curated list of awesome embedded programming.
• pxiangwu/MotionNet - CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
• ZVISION-lidar/zvision_ugv_data -
• Ghustwb/WechatArtical - “卡本特”公众号文章
• Ly0n/awesome-robotic-tooling - Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
• codebydant/compilingPCL-Linux - This is a tutorial of how to compile PCL 1.11.1 on Ubuntu 20.04.2 LTS
• sanguinariojoe/vtk-builds - Automatic builds of VTK
• EricChen2013/Course - 流媒体技术视频教程：RTSP、RTMP、HLS、HTTP、EasyDarwin、live555、ffmpeg、图像识别、智能分析、编解码、流媒体传输、高性能服务器
• haoai-1997/Deep-learning-Survey-for-Omnidirectional-vision -
• areuther/ai-accelerators - CSV spreadsheets and other material for AI accelerator survey papers
• xushuan/google_latest_usb_driver_windows -
• xxlbigbrother/Fusion-RCNN - This is the official code of FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection.
• ZHOUYI1023/awesome-radar-perception - A curated list of radar datasets, detection, tracking and fusion
• megvii-research/introduction-neural-3d-reconstruction - Course materials for Introduction to Neural 3D Reconstruction
• fffaraz/awesome-cpp - A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
• renesas/tflite-micro-renesas - TFLM examples using Renesas microcontrollers
• Masmiseim36/nxpSDK - Collection of SDKs for NXP Controllers
• ai4ce/DiscoNet - [NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
• dkozlov/awesome-knowledge-distillation - Awesome Knowledge Distillation
• he-y/Awesome-Pruning - A curated list of neural network pruning resources.
• JMoonr/mmlane - multi-modal 3D Lane Detection
• NVIDIA/nvidia-docker - Build and run Docker containers leveraging NVIDIA GPUs
• YiChenCityU/Recent_SLAM_Research - Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新
• guochengqian/Pix4Point - Official implementation for [3DV 2024] Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding
• Xilinx/Vitis-AI-Tutorials -
• lahoud/3d-vision-transformers - A list of 3D computer vision papers with Transformers
• 4DVLab/Vision-Centric-BEV-Perception - Vision-Centric BEV Perception: A Survey
• PointsCoder/Awesome-3D-Object-Detection-for-Autonomous-Driving - 3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
• extreme-assistant/ECCV2022-Paper-Code-Interpretation - ECCV2022 论文/代码/解读合集，极市团队整理
• HorizonRobotics-Platform/ModelZoo - original trained model(float) for Horizon model convert
• miseon119/onnx-graphsurgeon-notes -
• RUSH-LAB/SLIDE -
• k0suke-murakami/kitti_pretrained_point_pillars -
• MingchaoZhu/InterpretableMLBook - 《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
• kimtaikee/QVTKDemo_data - QVTKDemo's model files
• opencv/opencv_extra - OpenCV extra data
• dragonlong/amazing-equivariance-learning -
• wangguojun2018/MVAF-Net - Multi-View Adaptive Fusion Network for 3D Object Detection
• NUAAXQ/awesome-point-cloud-analysis-2023 - A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
• Hub-Tian/Awesome-3D-Detectors - Paperlist of awesome 3D detection methods
• Icecream-blue-sky/Past-and-present-small-object-detection - Latest paper about small object detection
• donnyruixu/pc-elm-ae -
• XiwuChen/PRA-Net - The source code of PRA-Net.
• jialeli1/MGAF-3DSSD - The official implementation of "Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud" in ACM MM 2021.
• daohu527/dig-into-apollo - Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
• tolgabirdal/qenetworks - Official implementation of Quaternion Equivariant Capsule Networks for 3D Point Clouds
• yinjunbo/CenterPoint-Fusion - The proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to gene
• foolwood/benchmark_results - Visual Tracking Paper List
• hancyran/RPNet-Point-Clouds - (ICCV 2021) Learning Inner-group Relations on Point Clouds
• DWCTOD/ICCV2021-Papers-with-Code-Demo - ICCV 2021 paper with code
• MNewBie/PCL-Notes - pcl learning notes
• ali-chr/ZSL_3D_point_cloud -
• ChristosChristofidis/awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
• extreme-assistant/Awesome-CV-Team - 国内外优秀的计算机视觉团队汇总，极市团队整理
• extreme-assistant/ICCV2023-Paper-Code-Interpretation - ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
• xzlscut/PartialPointClouds -
• ZitongYu/DeepFAS - 🔥Deep Learning for Face Anti-Spoofing
• zwb0/PointLIE - PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery (IJCAI 2021)
• francisengelmann/DPC - [ICRA 2020] Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds
• HuangCongQing/postgraduate - 研究生培养 发展等 科研
• HuangCongQing/college-resource - 各大高校大学生课程学习资源
• PaoPaoRobot/ICRA2020-paper-list - ICRA2020 paperlist by paopaorobot
• pyston/pyston_v1 - The previous version of Pyston, a faster implementation of the Python programming language. Please use this link for the new repository:
• Interactive-Lab/LiDARNet - This dataset is collected by an HDL-32E Velodyne LiDAR sensor carried by our UGV platform. Raw point clouds collected from a real outdoor scene are segmented into individual obstacles according to a f
• alichr/Zero-shot-Learning-of-3D-Point-Cloud-Objects -
• JialeCao001/PedSurvey - From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)
• tyjiang1997/awesome-Automanous-3D-detection-methods -
• kuanhungchen/awesome-tiny-object-detection - 🕶 A curated list of Tiny Object Detection papers and related resources.
• TencentYoutuResearch/FaceDetection-DSFD - see details at https://github.com/Tencent/FaceDetection-DSFD
• SHI-Labs/3D-Point-Cloud-Learning -
• 3DSceneRetrieval/3D-Scene-Retrieval-Methods-Source-Code - This is the source code repository for the methods evaluated in the paper "A comparison of methods for 3D scene shape retrieval".
• amusi/YOLO-Reproduce-Summary - YOLO reproduce summary (now based on YOLOv3)
• lslrh/multi-view -
• Banconxuan/awesome-semantic-segmentation - 🤘 awesome-semantic-segmentation
• daniilidis-group/swscnn - Demo source code for the paper "Spin-Weighted Spherical CNNs".
• lartpang/PyTorchTricks - Some tricks of pytorch... ⭐
• sshaoshuai/PV-RCNN - PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection, CVPR 2020.
• amusi/CVPR2024-Papers-with-Code - CVPR 2024 论文和开源项目合集
• haozhangcn/paper-computer-vision - Computer vision papers
• extreme-assistant/awesomeCV - 记录state-of-art计算机视觉相关论文。
• extreme-assistant/CVPR2024-Paper-Code-Interpretation - cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
• dlod-openvino/book - 《深度学习图像识别技术：基于TensorFlow Object Detection API和Intel OpenVINO》
• Hardy-Uint/awesome-3D-vision - 3D computer vision incuding SLAM，VSALM，Deep Learning，Structured light，Stereo，Three-dimensional reconstruction，Computer vision，Machine Learning and so on
• 3DTINet/3DTINet -
• sijia3/3D-shape-retrieval - 针对三维模型检索，并采用卷积神经网络，提出两个算法：1.采用体素化深层特征进行训练。2. 采用虚拟摄像机抓取多角度视图特征进行训练。
• weiaicunzai/awesome-image-classification - A curated list of deep learning image classification papers and codes
• detectRecog/ZoomNet - ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
• QingyongHu/SoTA-Point-Cloud - 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
• Yochengliu/awesome-point-cloud-analysis - A list of papers and datasets about point cloud analysis (processing)
• Sophia-11/Awesome-CVPR-Paper - CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章
• getlantern/download - Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw
• kevin-kaixu/partnet-symh - The Enhanced PartNet Dataset with Symmetry Hierarchy (PartNet-Symh)
• inessus/pytorch_awesome - about the resources of pytorch
• SamPutnam/Index-2024 -
• timzhang642/3D-Machine-Learning - A resource repository for 3D machine learning

PHP

• endroid/qr-code - QR Code Generator
• RubixML/ML - A high-level machine learning and deep learning library for the PHP language.

Perl

• brendangregg/FlameGraph - Stack trace visualizer

PowerShell

• RapidAI/OnnxruntimeBuilder - Onnxruntime Builder

Prolog

• nasa-jpl/open-source-rover - A build-it-yourself, 6-wheel rover based on the rovers on Mars!

PureBasic

• alibaba/x-deeplearning - An industrial deep learning framework for high-dimension sparse data
• BUG1989/onnx_op_test_data - extract backend test data from onnx repo

Python

• taco-group/OpenEMMA - OpenEMMA, a permissively licensed open source reproduction of Waymo’s EMMA model.
• yangchris11/samurai - Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
• tryolabs/norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
• ziqi-ma/Find3D - Open-world 3D part segmentation of point clouds
• GigaAI-research/DriveDreamer4D -
• Peterande/D-FINE - D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥
• megvii-research/MCTrack - This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
• cfzd/Ultra-Fast-Lane-Detection-v2 - Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
• otaheri/MANO - A PyTorch Implementation of MANO hand model.
• lixiny/manotorch - MANO hand model in PyTorch (anatomy consistent, anchors, etc)
• CalciferZh/SMPL - NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
• Event-AHU/EventVOT_Benchmark - [CVPR-2024] The First High Definition (HD) Event based Visual Object Tracking Benchmark Dataset
• binary-husky/gpt_academic - 为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss
• CG80499/KAN-GPT-2 - Training small GPT-2 style models using Kolmogorov-Arnold networks.
• AdityaNG/kan-gpt - The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
• eureka-research/DrEureka - Official Repository for "DrEureka: Language Model Guided Sim-To-Real Transfer" (RSS 2024)
• kyutai-labs/moshi -
• test-time-training/ttt-lm-pytorch - Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
• GindaChen/FlexFlashAttention3 - FlexAttention w/ FlashAttention3 Support
• adithya-s-k/omniparse - Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
• OpenTeleVision/TeleVision - [CoRL 2024] Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
• pipecat-ai/pipecat - Open Source framework for voice and multimodal conversational AI
• dxyang/DQN_pytorch - Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
• VITA-MLLM/VITA - ✨✨VITA: Towards Open-Source Interactive Omni Multimodal LLM
• emidan19/deep-tempest - Restoration for TEMPEST images using deep-learning
• gradio-app/gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
• AXERA-TECH/RT-DETR - Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
• lyuwenyu/RT-DETR - [CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
• sunshuofeng/X-3D - X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)
• jerryfeng2003/PointGST - Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
• rst-tu-dortmund/lerojd -
• BIT-DA/Annotator - [NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation
• g-meghana-reddy/open-world-panoptic-segmentation -
• Keep-Passion/ImageStitch - A Fast Algorithm for Material Image Sequential Stitching
• cvg/LightGlue - LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
• DYZhang09/SAM3D - [SCIS] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
• adept-thu/InterFusion - InterFusion
• yuantianyuan01/StreamMapNet -
• Zeyi-Lin/HivisionIDPhotos - ⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
• orhir/PoseAnything - A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]
• morrisfl/UniFEx - Framework for computationally efficient training of universal image feature extraction models.
• ayesha-ishaq/Open3DTrack - Code for Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking
• alicevision/Meshroom - 3D Reconstruction Software
• GenericMappingTools/pygmt - A Python interface for the Generic Mapping Tools.
• semuconsulting/PyGPSClient - Python Graphical GPS Client Application supporting NMEA, UBX, RTCM3, NTRIP & SPARTN Protocols
• graphdeco-inria/gaussian-splatting - Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
• DaniloXiao/BEV-RoadSeg - BEV-RoadSeg for Freespace Detection in PyTorch, including Python onnx and tensorRT API versions.
• pytorch/torchchat - Run PyTorch LLMs locally on servers, desktop and mobile
• haomo-ai/ModaLink - [IROS 2024] This repository contains the implementation of our paper: ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition
• SCNU-RISLAB/MF-MOS - This repo is the offical PyTorch implementation of MF-MOS.
• SCNU-RISLAB/MotionBEVpp - A Moving Object Semantic Segmentation Model Based on the Bird's eye view - jxLiang's Bachelor Thesis Code
• xieKKKi/MotionBEV - A simple yet effective framework for LiDAR-based moving object segmentation.
• nubot-nudt/InsMOS - [IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
• PRBonn/MapMOS - Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
• hithqd/PointRWKV -
• ThomasVonWu/SparseEnd2End - End2EndPerception deployment solution based on vision sparse transformer paradigm is open sourced.
• happinesslz/LION - [NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“
• Poley97/FSTR - Fully Sparse Transformer 3D Detector for LiDAR Point Cloud
• Jittor/JAD -
• openvla/openvla - OpenVLA: An open-source vision-language-action model for robotic manipulation.
• IMRL/HPPLO-Net -
• PRBonn/puma - Poisson Surface Reconstruction for LiDAR Odometry and Mapping
• IRMVLab/TransLO - Codes for AAAI2023 paper "TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry"
• qizekun/ShapeLLM - [ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
• Open3DA/LL3DA - [CVPR 2024] "LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning"; an interactive Large Language 3D Assistant.
• IRMVLab/DVLO - [ECCV 2024 Oral] DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment
• qintonguav/ParkingE2E -
• TommyZihao/openvino_tonypi - 基于OpenVINO，本地部署大模型智能体Agent，控制TonyPi人形机器人
• huangwl18/ReKep - ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
• MichaelGrupp/evo - Python package for the evaluation of odometry and SLAM
• AssafSinger94/dino-tracker - Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video”
• HR-zju/LiCROcc -
• opendatalab/MinerU - A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
• prs-eth/PanopticSegForLargeScalePointCloud - Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
• lorenzovaquero/BUSCA - [ECCV 2024] BUSCA: "Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking"
• MassimoQu/v2i-calib - V2I-CALIB and V2I-CALIB++: Object-Level, Real-Time Point Cloud Global Registration Framework for V2I/V2X Applications
• StiphyJay/PillarTrack - PillarTrack: Redesigning Pillar-based Transformer Network for Single Object Tracking on Point Clouds
• adept-thu/GraphBEV - [ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
• invictus717/MiCo - Explore the Limits of Omni-modal Pretraining at Scale
• uzh-rpg/dagr - Code for the paper "Low Latency Automotive Vision with Event Cameras", published in Nature
• Aider-AI/aider - aider is AI pair programming in your terminal
• aipixel/GaussianAvatar - [CVPR 2024] The official repo for "GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians"
• drilistbox/FlashOCC_on_UniOcc_and_RenderOCC -
• DepthAnything/Depth-Anything-V2 - [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
• andrewyng/translation-agent -
• gwenzhang/Voxel-Mamba - [NIPS'24] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
• MetaSLAM/GPRS_Survey - Benchmark for lidar and visual place recognition
• mapbench/toolkit - Is Your HD Map Constructor Reliable under Sensor Corruptions?
• zyc00/Point-SAM - Point-SAM: This is the official repository of "Point-SAM: Promptable 3D Segmentation Model for Point Clouds". We provide codes for running our demo and links to download checkpoints.
• NickHezhuolin/OS-Det3D -
• xuxw98/DSPDet3D - [ECCV 2024] 3D Small Object Detection with Dynamic Spatial Pruning
• Nuitka/Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or extens
• DaTongjie/BEVSpread -
• Visualize-ML/Book4_Power-of-Matrix - Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
• dsx0511/ADA-Track - Offical implementation of CVPR2024 paper ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association.
• pavlo-melnyk/tetrasphere - The official implementation of the "TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis" paper, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (
• yinjunbo/IS-Fusion - This repository contains the PyTorch implementation of the CVPR'2024 paper (Highlight), IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection.
• THU-MIG/yolov10 - YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
• ispc-lab/LiDAR4D - 💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
• CVMI-Lab/PLA - (CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
• zhanggang001/HEDNet - HEDNet (NeurIPS 2023) & SAFDNet (CVPR 2024 Oral)
• ylwhxht/SRKD-DRET - AAAI2024 - Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
• OthersideAI/self-operating-computer - A framework to enable multimodal models to operate a computer.
• NEU-REAL/SeqTrack3d - [ICRA'24] SeqTrack3d: Exploring Sequence Information for Robust 3D Point Cloud Tracking
• Terminal-K/MambaMOS - Official code implementation of MambaMOS
• NVlabs/OmniDrive -
• TangYuan96/MiniGPT-3D - [MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
• VISION-SJTU/Lightning-NeRF - [ICRA 2024] Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
• I2-Multimedia-Lab/Pointsoup - [IJCAI 2024] Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
• uulm-mrm/mmood3d - [IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"
• jaiwei98/MobileNetV4-pytorch - An unofficial implementation of MobileNetV4 in Pytorch
• RUC-GSAI/YuLan-Chat - YuLan: An Open-Source Large Language Model
• RUCAIBox/LLMBox - A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.
• KellerJordan/cifar10-airbench - 94% on CIFAR-10 in 2.6 seconds 💨 96% in 27 seconds
• All-Hands-AI/OpenHands - 🙌 OpenHands: Code Less, Make More
• LiZhengXiao99/Navigation-Learning - 我的导航学习笔记，内容涵盖导航定位开源程序的源码解读 ( 包括：RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐；本仓库会长期更新，分享出来，既是跟大家做个交流，也激励着自己坚持学下去；所有内容都可以随意转载，原始文件都放在这了，欢迎在我的基础上整理出自己的一些文档。
• Xiangxu-0103/FRNet - FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
• AIR-THU/DAIR-RCooper - [CVPR2024] Official implementation of "RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception"
• explosion5/Dolphins - Main code of Dolphins dataset
• tum-traffic-dataset/tum-traffic-dataset-dev-kit - TUM Traffic Dataset Development Kit
• tianqi-wang1996/DeepAccident - Code for the benchmark - DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.
• tum-traffic-dataset/coopdet3d -
• GWxuan/ReID3D - Official Github repository for "LiDAR-based Person Re-identification‬". (CVPR 2024)
• takahikof/RIPT_SDMM - Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation
• meta-llama/llama3 - The official Meta Llama 3 GitHub site
• JiehongLin/SAM-6D - [CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".
• JohnDMcMaster/usbrply - Replay USB messages from Wireshark (.cap) files
• George-Zhuang/NetTrack - Official code for NetTrack [CVPR 2024]
• Ivan-Tang-3D/Any2Point - [ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding
• ztsrxh/RoadBEV - Codes for RoadBEV: road surface reconstruction in Bird's Eye View
• yangyangyang127/Seg-NN - [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
• heshuting555/PAP-FZS3D - [TIP-2023] Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation
• Na-Z/attMPTI - [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
• heethesh/lidar_camera_calibration - Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
• Tsinghua-MARS-Lab/Occ3D -
• MCG-NJU/SparseOcc - [ECCV 2024] Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
• myshell-ai/OpenVoice - Instant voice cloning by MIT and MyShell.
• spla-tam/SplaTAM - SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
• VladimirYugay/Gaussian-SLAM - Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
• muskie82/MonoGS - [CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
• xy-guo/MVSNet_pytorch - PyTorch Implementation of MVSNet
• prs-eth/OverlapPredator - [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
• haoyu94/Coarse-to-fine-correspondences - PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"
• qinzheng93/GeoTransformer - [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
• POSTECH-CVLab/DHVR - [ICCV 2021] Deep Hough Voting for Robust Global Registration
• XuyangBai/PointDSC - [PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465
• chrischoy/DeepGlobalRegistration - [CVPR 2020 Oral] A differentiable framework for 3D registration
• goncalo120/3DRegNet - [CVPR 2020, Poster] 3DRegNet: A Deep Neural Network for 3D Point Registration (Not Updated)
• ZhiChen902/SC2-PCR - SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)
• l1997i/LiM3D - 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
• Jiang-HB/VBReg - Robust Outlier Rejection for 3D Registration with Variational Bayes (Accepted by CVPR-2023)
• abhi1kumar/SeaBird - [CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
• NVIDIA-AI-IOT/nanosam - A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
• Turoad/CLRNet - Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
• xai-org/grok-1 - Grok open release
• Haiyang-W/GiT - [ECCV2024 Oral🔥] Official Implementation of "GiT: Towards Generalist Vision Transformer through Universal Language Interface"
• WailordHe/DenseSSM - A repository for DenseSSMs
• PacktPublishing/3D-Deep-Learning-with-Python - 3D Deep Learning with Python, Published by Packt
• LMD0311/DAPT - [CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
• OpenGVLab/DCNv4 - [CVPR 2024] Deformable Convolution v4
• abi/screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
• AILab-CVC/UniRepLKNet - [CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
• Meituan-AutoML/MobileVLM - Strong and Open Vision Language Assistant for Mobile Devices
• lucidrains/meshgpt-pytorch - Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch
• shenlan2017/TensorRT-StableDiffusion - The Project of the Model Deployment course on ShenLan College
• MaxLeo-LMZ/BEVFusion_Learningnote - 本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用，会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。
• lxtGH/OMG-Seg - OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]
• NVlabs/BEV-Planner -
• filaPro/oneformer3d - [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
• Hzbupahaozi/yolov8_xj3_deploy - yolov8的训练以及在旭日x3派上的部署
• WongKinYiu/yolov9 - Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
• wzzheng/GenAD - [ECCV 2024] GenAD: Generative End-to-End Autonomous Driving
• Song-Jingyu/LiRaFusion - [ICRA 2024] - We propose LiRaFusion to tackle LiDAR-radar fusion for 3D object detection to fill the performance gap of existing LiDAR-radar detectors.
• vllm-project/vllm - A high-throughput and memory-efficient inference and serving engine for LLMs
• lm-sys/FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
• WoodOxen/tactics2d - Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
• haotian-liu/LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
• PKU-YuanGroup/Video-LLaVA - 【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
• LinkSoul-AI/Chinese-LLaVA - 支持中英文双语视觉-文本对话的开源可商用多模态模型。
• THUDM/CodeGeeX2 - CodeGeeX2: A More Powerful Multilingual Code Generation Model
• LMD0311/PointMamba - [NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis
• state-spaces/mamba - Mamba SSM architecture
• Dao-AILab/flash-attention - Fast and memory-efficient exact attention
• cumulo-autumn/StreamDiffusion - StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
• LlamaFamily/Llama-Chinese - Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用
• AILab-CVC/YOLO-World - [CVPR 2024] Real-Time Open-Vocabulary Object Detection
• baaivision/Uni3D - [ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
• xtekky/gpt4free - The official gpt4free repository | various collection of powerful language models
• lhaof/nnMamba -
• mit-han-lab/efficientvit - Efficient vision foundation models for high-resolution generation and perception.
• AnythingInAnyScene/anything_in_anyscene -
• fudan-zvg/PARTNER - [ICCV 2023] PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
• biter0088/pc-nerf -
• UniBwTAS/YOLOPoint - Joint Keypoint and Object Detection
• fkluger/parsac - PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
• BraveGroup/Drive-WM - [CVPR 2024] A world model for autonomous driving.
• BraveGroup/PSPS - Pointly-supervised panoptic segmentation
• BraveGroup/PointSAM-for-MixSup - Codes for ICLR 2024: "MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection"
• haomo-ai/Cam4DOcc - [CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
• ApolloAuto/apollo-model-radar4d -
• tusen-ai/RangeDet - Paper and Codes for “RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection” (ICCV2021)
• Stability-AI/generative-models - Generative Models by Stability AI
• Stability-AI/stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
• luosiallen/latent-consistency-model - Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
• superduper-io/superduper - Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.
• MarkFzp/act-plus-plus - Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
• charent/ChatLM-mini-Chinese - 中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。
• tech-shrimp/GithubActionSample - GithubAction的使用样例，天气推送，薅羊毛，打卡签到
• tech-shrimp/FreeWechatPush - 使用免费的微信测试公众号，做微信推送，给女朋友推送天气，课程提醒。
• hiyouga/LLaMA-Factory - Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
• krrish94/nerf-pytorch - A PyTorch re-implementation of Neural Radiance Fields
• IrohXu/lanenet-lane-detection-pytorch - Unofficial implemention of lanenet model for real time lane detection Pytorch Version
• InternLM/InternLM-Math - State-of-the-art bilingual open-sourced Math reasoning LLMs.
• openai/whisper - Robust Speech Recognition via Large-Scale Weak Supervision
• motional/polarstream -
• Yzichen/FlashOCC -
• spacewalk01/depth-anything-tensorrt - TensorRT implementation of Depth-Anything V1, V2
• LiheYoung/Depth-Anything - [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
• SoldierChen/DPU-Accelerated-3D-Object-Detection-on-Point-Clouds - With Pynq -DPU overlay on KV260, we made 3D Object Detection on Point Clouds generated from LiDAR Faster than ever!
• THUDM/ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
• HuangCongQing/Point-Clouds-Visualization - visualization点云可视化(open3D, mayavi, rviz(ros), PCL等)
• metadriverse/metadrive - MetaDrive: Open-source driving simulator
• ibaiGorordo/Ultrafast-Lane-Detection-Inference-Pytorch- - Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.
• lucastabelini/LaneATT - Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
• lucastabelini/PolyLaneNet - Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
• Pointcept/PointTransformerV3 - [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
• linClubs/FastBEV-ROS-TensorRT - FastBEV-ROS-TensorRT-CPP real time inference including ros1 & ros2
• linClubs/BEVFusion-ROS-TensorRT - BEVFusion-ROS-TensorRT-CPP real time inference including ros1 & ros2.
• hustvl/VMA - A general map auto annotation framework based on MapTR, with high flexibility in terms of spatial scale and element type
• Deep-Spark/DeepSparkHub - DeepSparkHub selects hundreds of application algorithms and models, covering various fields of AI and general-purpose computing, to support the mainstream intelligent computing scenarios.
• PINTO0309/PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8),
• cqu20160901/DETR_onnx_tensorRT_V2 - DETR tensor去除推理过程无用辅助头+fp16部署再次加速+解决转tensorrt 输出全为0问题的新方法。
• wu-zhonghua/RAC-Net -
• OpenDriveLab/LaneSegNet - [ICLR 2024] Map Learning with Lane Segment for Autonomous Driving
• ChenhongyiYang/WidthFormer - [IROS 2024 Oral Presentation] WidthFormer: Toward Efficient Transformer-based BEV View Transformation
• OpenRobotLab/HIMLoco - Learning-based locomotion control from OpenRobotLab, including Hybrid Internal Model & H-Infinity Locomotion Control
• CVHub520/X-AnyLabeling - Effortless data labeling with AI support from Segment Anything and other awesome models.
• roboflow/supervision - We write your reusable computer vision tools. 💜
• Serenos/DI-V2X - The official implementation of AAAI2024 paper DI-V2X.
• OpenDriveLab/ViDAR - [CVPR 2024 Highlight] Visual Point Cloud Forecasting
• TalkUHulk/HulkFakeFace-pytorch - 人脸全家桶--RetinaFace（MobileNetV2 and ResNet50 with Gender）、ArcFace、FaceBeautyRank and FaceRetrieval
• spfrommer/torchexplorer - Interactively inspect module inputs, outputs, parameters, and gradients.
• xinghaochen/TinySAM - Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"
• SafeAILab/EAGLE - Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)
• prs-eth/point2cad - Code for "Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds"
• ZhangXiaze/DeepPointMap - Implementation of DeepPointMap (AAAI2024), a nerual network-based LiDAR SLAM architecture in Pytorch
• KuanchihHuang/PTT - [CVPR2024] PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
• 16lemoing/dot - Dense Optical Tracking: Connecting the Dots
• junshengzhou/VP2P-Match - [NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
• pytorch-labs/gpt-fast - Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
• luluho1208/Diffusion-SS3D -
• csuhan/OneLLM - [CVPR 2024] OneLLM: One Framework to Align All Modalities with Language
• GAP-LAB-CUHK-SZ/SAMPro3D - SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation
• valeoai/PointBeV - Official implementation of PointBeV: A Sparse Approach to BeV Predictions
• EdwardLeeLPZ/PowerBEV - POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.
• GutlapalliNikhil/Complex-YOLO-ROS-3D-Object-Detection - Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat
• wzzheng/OccWorld - [ECCV 2024] 3D World Model for Autonomous Driving
• kaist-avelab/K-Radar - 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
• Evocargo/Lidar-Annotation-is-All-You-Need - 2D road segmentation using lidar data during training
• ApolloAuto/apollo-model-centerpoint -
• pytorch-labs/segment-anything-fast - A batched offline inference oriented version of segment-anything
• huapohen/general_parking_slot_detection -
• gaomingqi/Track-Anything - Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
• openai/gym - A toolkit for developing and comparing reinforcement learning algorithms.
• chiyukunpeng/nuscenes_viz - visualize datasets like nuscenes
• MCG-NJU/MeMOTR - [ICCV 2023] MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
• HariPrasanth-SM/Vision-Fusion-Early-Fusion - In this project, the camera and LiDAR data are fused by early sensor fusion technique
• TinyDataML/Tiny3D - Tiny3D is a next generation of 3D AI service production system.
• JackWoo0831/Yolov7-tracker - Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your
• autodistill/autodistill-gpt-4v - GPT-4V(ision) module for use with Autodistill.
• autodistill/autodistill-segment-anything - Use Segment Anything to identify objects in an image.
• autodistill/autodistill-yolov8 - YOLOv8 Target Model plugin for Autodistill
• autodistill/autodistill - Images to inference with no labeling (use foundation models to train supervised models).
• qcraftai/distill-bev - DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
• cs230-stanford/cs230-code-examples - Code examples in pyTorch and Tensorflow for CS230
• lucidrains/voicebox-pytorch - Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch
• lucidrains/toolformer-pytorch - Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
• OpenBMB/XAgent - An Autonomous LLM Agent for Complex Task Solving
• vballoli/nfnets-pytorch - NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
• THUDM/ChatGLM3 - ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
• waymo-research/waymax - A JAX-based simulator for autonomous driving research.
• spack/spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
• megvii-research/CVPR2023-UniDistill - CVPR2023 (highlight) - UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
• wayveai/fiery - PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"
• wkentaro/labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
• zju3dv/4K4D - [CVPR 2024] 4K4D: Real-Time 4D View Synthesis at 4K Resolution
• shalfun/DrivingDiffusion - Layout-Guided multi-view driving scene video generation with latent diffusion model
• umautobots/LONER - [RA-L 2023 Best Paper] Official Code Release for LONER: LiDAR Only Neural Representations for Real-Time SLAM
• tangtaogo/lidar-nerf - LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
• MissiaL/hikvision-client - Client for Hikvision devices
• wayveai/Driving-with-LLMs - PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
• hikvision-research/3DVision -
• microsoft/DeepSpeedExamples - Example models using DeepSpeed
• microsoft/DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
• NVIDIA/Megatron-LM - Ongoing research training transformer models at scale
• microsoft/Megatron-DeepSpeed - Ongoing research training transformer language models at scale, including: BERT & GPT-2
• hou-yz/open-reid-tracking - open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included
• 1522454735/Multiple-camera-single-target-tracking - 基于多摄像头协同分析的单目标跟踪算法/系统
• fubel/synthehicle - [WACVW 2023] A massive synthetic dataset for 3D multi-target multi-camera tracking and segmentation.
• nolanzzz/mtmct - Design and Implementation of a Multi-Target Multi-Camera Tracking Solution
• SurajDonthi/Multi-Camera-Person-Re-Identification - State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
• GehenHe/TRACTA - TRACTA: Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment
• rigaya/build_pkg - currently for test
• huggingface/peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
• zju3dv/OnePose_Plus_Plus - Code for "OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models" NeurIPS 2022
• zju3dv/OnePose - Code for "OnePose: One-Shot Object Pose Estimation without CAD Models", CVPR 2022
• cure-lab/MagicDrive - [ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”
• Kou-99/ZoomTrack - [NeurIPS 2023 Spotlight] ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
• stevewongv/Sparse2Dense - Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)
• Nightmare-n/UniPAD - UniPAD: A Universal Pre-training Paradigm for Autonomous Driving (CVPR 2024)
• sirius-ai/LPRNet_Pytorch - Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
• HuKai97/YOLOv5-LPRNet-Licence-Recognition - 使用YOLOv5和LPRNet进行车牌检测+识别（CCPD数据集）
• DerryHub/BEVFormer_tensorrt - BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
• zehuichen123/Graph-DETR4D - [ACM MM2022, TIP2024] Graph-DETR Series for Multi-View 3D Object Detection
• PJLab-ADG/DiLu - [ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
• talk2car/Talk2Car - The official Talk2Car dataset repo
• Haiyang-W/DSVT - [CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
• rasd3/3D-Dual-Fusion - [Arxiv 2022] This is the official implementation of 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
• jhkohpav/MGTANet -
• ICEORY/PMF - Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)
• Robertwyq/PanoOcc - [CVPR 2024] PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
• KuanchihHuang/MoMA-M3T - Delving into Motion-Aware Matching for Monocular 3D Object Tracking (ICCV 2023)
• chisyliu/GnnPmbTracker -
• cogsys-tuebingen/CBMOT - This repo contains the official code for the paper 'Score refinement for confidence-based 3D multi-object tracking'
• lixiaoyu2000/Poly-MOT - Official Repo For IROS 2023 Accepted Paper "Poly-MOT"
• dvl-tum/mot_neural_solver - Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).
• ZwwWayne/mmMOT - [ICCV2019] Robust Multi-Modality Multi-Object Tracking
• arangesh/TrackMPNN -
• wangxiyang2022/MMF-JDT - This is the offical implementation of the paper "You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking "
• hejiawei2023/UG3DMOT -
• ocetintas/MPNTrackSeg - [IJCV 2022] Multi-Object Tracking and Segmentation via Neural Message Passing
• tobiasfshr/MOTSFusion - MOTSFusion: Track to Reconstruct and Reconstruct to Track
• VisualComputingInstitute/TrackR-CNN - TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)
• qa276390/SearchTrack - [BMVC 2022] SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features
• VisualComputingInstitute/mots_tools - Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task
• zhiqwang/yolort - yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
• wudongming97/TopoMLP - [ICLR2024] TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
• DayongRen/Spiking-PointNet - Official PyTorch implementation for the following paper: Spiking PointNet: Spiking Neural Networks for Point Clouds.
• JiayuanWang-JW/YOLOv8-multi-task -
• JeffWang987/DriveDreamer - [ECCV 2024] DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
• tyhuang0428/CLIP2Point - [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
• fishros/yolov_ros2 - 基于 YOLOv5 的 ROS 2 封装，允许用户使用给定的模型文件和图像话题进行实时物体检测。
• fishros/yolov5_ros2 - 基于YOLOV5 的ROS2功能包，可以快速完成物体识别与位姿发布。 A ROS2 package based on YOLOV5 that enables fast object recognition and pose publishing.
• leofansq/CBR - [IROS2023] Calibration-free BEV Representation for Infrastructure Perception
• MediaBrain-SJTU/CoBEVFlow - [NeurIPS 2023] Asynchrony-Robust Collaborative Perception via Bird’s Eye View Flow
• mrnabati/RRPN - Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)
• MaybeShewill-CV/lanenet-lane-detection - Unofficial implemention of lanenet model for real time lane detection
• OpenDriveLab/DriveAGI - [CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
• SamsungLabs/tr3d - [ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection
• OpenDriveLab/TopoNet - Topology Reasoning for Scene Perception in Autonomous Driving
• OpenDriveLab/ThinkTwice - [CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.
• U07157135/ROS2-with-YOLOv5 -
• daohu527/pcdviz - point cloud viz
• LeapLabTHU/ARC - [ICCV 2023] Adaptive Rotated Convolution for Rotated Object Detection
• princeton-vl/Oriented1D - Official code for ICCV 2023 paper "Convolutional Networks with Oriented 1D Kernels"
• llmbev/talk2bev - Talk2BEV: Language-Enhanced Bird's Eye View Maps (ICRA'24)
• yangyuke001/DriveGPT - auto drive from GPT
• Neutree/COMTool - Cross platform communicate assistant(Serial/network/terminal tool)（ 跨平台 串口调试助手 网络调试助手 终端工具 linux windows mac Raspberry Pi ）支持插件和二次开发
• yule-BUAA/DyGLib - A Library for Dynamic Graph Learning (NeurIPS 2023)
• RayXie29/Kaggle-Peking-University-Baidu-Autonomous-Driving-32-place-solution - 3D car detection competition on Kaggle : https://www.kaggle.com/c/pku-autonomous-driving/overview
• JunshengFu/vehicle-detection - Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
• cnyvfang/labelGo-Yolov5AutoLabelImg - YOLOV5 semi-automatic annotation tool (Based on labelImg)
• thnak/yolov7-rknn - Run your yolov7 object detection with Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106, RK3562).
• Toytiny/CMFlow - [CVPR 2023 Highlight 💡] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
• yxuhan/ReflectanceMM - [CVPR 2023] Learning a 3D Morphable Face Reflectance Model from Low-cost Data
• labmlai/annotated_deep_learning_paper_implementations - 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(
• Jumpat/SegmentAnythingin3D - Segment Anything in 3D with NeRFs (NeurIPS 2023)
• sczhou/ProPainter - [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
• visionml/pytracking - Visual tracking library based on PyTorch.
• TsingWei/LiteTrack - [ICRA2024]A fast and high-performance visual object tracker with real-time speed on Jetson.
• apple/ml-fastvit - This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
• marcomusy/vedo - A python module for scientific analysis of 3D data based on VTK and Numpy
• ldtho/PiFeNet - Official implementation of PiFeNet
• Mandylove1993/CUDA-FastBEV - TensorRT deploy and PTQ/QAT tools development for FastBEV, total time only need 6.9ms!!!
• hollow-503/UniM2AE - [ECCV2024] UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
• MCG-NJU/LinK - [CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception
• Cuogeihong/CEASC - The official implementation of CEASC
• ZZY816/COM - Curricular Object Manipulation in LiDAR-based Object Detection（CVPR 2023）
• hkchengrex/Tracking-Anything-with-DEVA - [ICCV 2023] Tracking Anything with Decoupled Video Segmentation
• conceptofmind/toolformer -
• MehmetOKUYAR/Vehicles-Counting--Tracking-and-Speed-Estimation-with-YOLOv7-DeepSORT-Object-Tracking-and-Zone-Count -
• Hassi34/traffic-monitoring-yolov8 - Vehicle tracking, counting and speed estimation using Vision AI
• JMoonr/LATR - [ICCV2023 Oral] LATR: 3D Lane Detection from Monocular Images with Transformer
• wangzy22/TAP - [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
• mlvlab/SPoTr - Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
• Matrix-ASC/DeLA - Official PyTorch implementation of DeLA
• navervision/mlsd - Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection" (AAAI 2022 Oral)
• facebookresearch/Detic - Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
• OpenInterpreter/open-interpreter - A natural language interface for computers
• PaddlePaddle/PaConvert - PaddlePaddle Code Convert Toolkit. 『飞桨』深度学习代码转换工具
• EnVision-Research/Adv3D -
• haooozi/TTSNet - Official Implementation for [IEEE Transactions on Vehicular Technology] "TTSNet: Temporal transformer-based sequence network for state-of-charge estimation of Li-ion battery"
• haooozi/FAML-RT - Official Pytorch Implementation for [Information Sciences] "FAML-RT: Feature Alignment based multi-level Metric Learning network for Robust Tracker"
• haooozi/GLT-T - Official Pytorch Implementation for [AAAI'23 Oral] "GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds"
• xmm-prio/BEVTrack - This repo is the official implementation of "BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View".
• wzzheng/PointOcc - Efficient Point-based 3D Semantic Occupancy Prediction
• raindrop313/ICCV-2023-MB-TaylorFormer -
• OpenRobotLab/PointLLM - [ECCV 2024 Best Paper Candidate] PointLLM: Empowering Large Language Models to Understand Point Clouds
• InternLM/InternLM - Official release of InternLM2.5 base and chat models. 1M context support
• InternLM/xtuner - An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
• CASIA-IVA-Lab/AnomalyGPT - [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
• LeapLabTHU/FLatten-Transformer - Official repository of FLatten Transformer (ICCV2023)
• CodeDotJS/allstars - ✨ A tiny tool to export all your starred repositories.
• Amsterdam-AI-Team/Urban_PointCloud_Processing - Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
• maguowei/starred - creating your own Awesome List by GitHub stars!
• IDEA-Research/3D-deformable-attention - [ICCV 2023] Official implementation of the paper "DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting"
• deeptibhegde/AttentivePrototypeSFUDA - Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"
• darrenjkt/SEE-MTDA - (RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.
• Xiangyu-CAS/R2CNN.pytorch - pytorch implementation of R2CNN, Rotational Faster RCNN for orientated object detection
• sunjc0306/sematicVoxel -
• rui-qian/BADet - Rui Qian, Xin Lai, Xirong Li: BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022: IF=8.518)
• rbgirshick/py-faster-rcnn - Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
• LiewFeng/imTED - [ICCV 2023] Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
• SilvioGiancola/ShapeCompletion3DTracking - Code for Leveraging Shape Completion for 3D Siamese Tracking
• JohnsonSign/MaST-Pre -
• SiyuanHuang95/SUG - [ACM MM23] Pytorch implementation for paper: SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification
• pingyang1117/SMILEtrack_Official - SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
• nvbn/thefuck - Magnificent app which corrects your previous console command.
• G-Levine/rhea_description - URDF model for the Rhea wheeled biped
• svc-develop-team/so-vits-svc - SoftVC VITS Singing Voice Conversion
• qianqianwang68/omnimotion -
• Jamie-Stirling/RetNet - An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"
• CStanKonrad/long_llama - LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.
• vinits5/pcrnet_pytorch - This is a pytorch implementation of PCRNet
• caizhongang/SMPLer-X - Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"
• Yzichen/mmLaneDet -
• Turoad/lanedet - An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.
• meta-llama/codellama - Inference code for CodeLlama models
• PJLab-ADG/LimSim - LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support
• caizhongang/waymo_kitti_converter - A toolkit for Waymo Open Dataset <-> KITTI conversions
• mystorm16/BSH-Det3D - BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap
• cskkxjk/MonoNeRD - (ICCV2023) MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
• facebookresearch/NeRF-Det - [ICCV 2023] Code for NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
• mlcommons/inference - Reference implementations of MLPerf™ inference benchmarks
• XHwind/V2XP-ASG - [ICRA 2023] V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception
• ucla-mobility/OpenCDA - A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
• xiaoaoran/SynLiDAR - SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)
• kaixindelele/ChatPaper - Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
• liuyixin-louis/arxiv2latex - Download the source latex code of multiple arXiv paper with one click
• liyingying0113/rope3d-dataset-tools -
• DerrickXuNu/model_anostic - [ICRA2023] The official implementation of paper "Model-agnostic Multi-agent Perception"
• DerrickXuNu/MPDA - [ICRA2023] The official implementation of paper "Bridging the Domain Gap for Multi-Agent Perception"
• PJLab-ADG/PCSim - PCSim: LiDAR Point Cloud Simulation and Sensor Placement! Code of [ICRA 2023] "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" and [ICCV 2023] "Optimizing the Placeme
• yifanlu0227/CoAlign - [ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors
• AllenXiangX/Retro-FPN - Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation (ICCV 2023)
• lisj575/NeAF - Code Release for AAAI 2023, "NeAF: Learning Neural Angle Fields for Point Normal Estimation"
• MCG-NJU/SparseBEV - [ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
• Sense-X/HoP - [ICCV 2023] Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
• subake/DAPS3D - DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds
• OpenDriveLab/DriveAdapter - [ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion
• IRMVLab/ASTA3DConv - Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
• s-duuu/pred_fusion - Object Trajectory Prediction using ROS, YOLOv5, PointPillars, CRAT-Pred
• aydnzn/Enhancing-LiDAR-based-3D-Object-Detection - This repository contains a Master's Thesis on enhancing LiDAR-based 3D Object Detection in autonomous vehicles using synthetic data. The research explores the use of the Ansys AVxcelerate Sensors Simu
• Robertwyq/Frustum - [CVPR 2023] FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
• zhuoxiao-chen/ReDB-DA-3Ddet - [ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
• ddsediri/IterativePFN - Official code implementation for the paper "IterativePFN: True Iterative Point Cloud Filtering" (published in CVPR 2023).
• ZhangGongjie/SAM-DETR - [CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation
• wimmerth/scale-equivariant-3d-convnet - Official implementation of "Scale-Equivariant Deep Learning for 3D Data".
• YimingCuiCuiCui/Cloud-RAIN -
• haoyu94/RoITr - Rotation-Invariant Transformer for Point Cloud Matching
• meliao/rotation-invariant-random-features -
• IRMVLab/RegFormer - [ICCV2023]RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration
• Anything-of-anything/Anything-3D - Segment-Anything + 3D. Let's lift anything to 3D.
• Pointcept/SegmentAnything3D - [ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
• Yarroudh/segment-lidar - Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
• Pointcept/GPT4Point - [CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.
• sanechips-multimedia/syenet - SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device, in ICCV 2023
• NVIDIA/Deep-Learning-Accelerator-SW - NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.
• NVIDIA-AI-IOT/cuDLA-samples - YOLOv5 on Orin DLA
• Haiyang-W/UniTR - [ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
• dsx0511/3DMOTFormer - Offical implementation of ICCV2023 paper 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking.
• chaytonmin/UniScene - Official implementation of our RAL'24 paper: Multi-Camera Unified Pre-training for Autonomous Driving
• chaytonmin/Occupancy-MAE - Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
• mlvlab/PointWOLF - Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021
• sophgo/sophon_opencv -
• sophgo/sophon_ffmpeg -
• fengjiang5/Knowledge-Distillation-from-Cylinder3D-to-PolarNet -
• OpenDriveLab/OpenScene - 3D Occupancy Prediction Benchmark in Autonomous Driving
• pengsongyou/openscene - [CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
• ymzis69/HybridSORT - [AAAI2024]Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
• HKUST-Aerial-Robotics/MonoLaneMapping - Online Monocular Lane Mapping Using Catmull-Rom Spline (IROS 2023)
• BICLab/EMS-YOLO - Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)
• mengtan00/SA-BEV - This is the implementation of the paper "SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection" (ICCV 2023)
• UMass-Foundation-Model/3D-LLM - Code for 3D-LLM: Injecting the 3D World into Large Language Models
• HVXLab/HVDetFusion - This repository is an official implementation of HVDetFusion
• mamadouDembele/TwinLiteNet-ONNX-TENSORRT-ROS -
• chequanghuy/TwinLiteNet -
• XiangchenYin/PE-YOLO -
• UX-Decoder/Semantic-SAM - [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
• FiveLu/stream3dppe - StreamPETR with 3dppe Extension
• drilistbox/3DPPE -
• BIT-DYN/pointpillars_ros - A ros implement for pointpillars (OpenPCDet based)
• ModelTC/lightllm - LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
• LiWentomng/Point2Mask - The code for "Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport", ICCV2023
• mkang315/RCS-YOLO - [MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
• V-DETR/V-DETR - [ICLR 2024] This is the official code of the paper "V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection"
• Mr-Neko/JM3D - The offical implemention of JM3D.
• NVlabs/FocalFormer3D - Official PyTorch implementation of FocalFormer3D [ICCV 2023]
• tiangexiang/OccNeRF - [ICCV 2023] Rendering Humans from Object-Occluded Monocular Videos
• tusen-ai/MV2D - Code for "Object as Query: Lifting any 2D Object Detector to 3D Detection"
• Xiao-Hu-Z/pointpillars_int8 -
• HanjiangHu/Multi-LiDAR-Placement-for-3D-Detection - This is the official released code for CVPR 2022 "Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving"
• HITSZ-NRSL/De6D - [IEEE TIM] Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness
• nv-tlabs/lift-splat-shoot - Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
• yichen928/SparseFusion - [ICCV 2023] SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
• CVMI-Lab/SPS-Conv - (NeurlPS 2022) Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
• JDAI-CV/FaceX-Zoo - A PyTorch Toolbox for Face Recognition
• JDAI-CV/fast-reid - SOTA Re-identification Methods and Toolbox
• THUDM/ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
• zyh16143998882/ICCV23-IDPT - The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).
• youquanl/Segment-Any-Point-Cloud - [NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
• microsoft/unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
• slothfulxtx/MBPTrack3D - [ICCV2023] MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors
• PJLab-ADG/DriveLikeAHuman - Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
• AIR-DISCOVER/DQS3D - [ICCV23] DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
• InternLM/lmdeploy - LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
• SLDGroup/MobileViG -
• OpenStitching/stitching - A Python package for fast and robust Image Stitching
• meta-llama/llama - Inference code for Llama models
• doubleZ0108/GeoMVSNet - [CVPR 23'] GeoMVSNet: Learning Multi-View Stereo with Geometry Perception
• JunweiZheng93/APES - Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
• VVRPanda/ExpPoint-MAE -
• CGuangyan-BIT/PointGPT - [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
• xijiu9/Train_Transformers_with_INT4 -
• vietanhdev/anylabeling - Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
• ChuRuaNh0/FastSam_Awsome_TensorRT -
• CASIA-IVA-Lab/FastSAM - Fast Segment Anything
• BooHwang/segment_anything_tensorrt - Accelerate segment anything model inference using Tensorrt 8.6.1.6
• NVlabs/FasterViT - [ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
• NVlabs/FB-BEV - Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
• linxuewu/Sparse4D - Sparse4D v1 & v2
• intel/neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
• aharley/simple_bev - A Simple Baseline for BEV Perception
• megvii-research/FQ-ViT - [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
• JessieW0806/Bi-LRFusion -
• haibo-qiu/CDFormer - Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"
• hustvl/SparseTrack - Official PyTorch implementation of SparseTrack (the new version of code will come soon)
• hustvl/Matte-Anything - [Image and Vision Computing (Vol.147 Jul. '24)] Interactive Natural Image Matting with Segment Anything Models
• SPengLiang/Camera-Calibration-of-Zhang-s-method - Zhang‘s method camera calibration implement by numpy
• SPengLiang/OccupancyM3D - [CVPR 2024] Learning Occupancy for Monocular 3D Object Detection
• PJLab-ADG/DetZero - [ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
• OpenDriveLab/OccNet - [ICCV 2023] OccNet: Scene as Occupancy
• lyclyc52/NeRF_RPN - [CVPR2023] NeRF-RPN: A general framework for object detection in NeRFs
• AIR-THU/DAIR-V2X-Seq -
• Nightmare-n/PVT-SSD - PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer (CVPR 2023)
• NVIDIA-AI-IOT/Lidar_AI_Solution - A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, Y
• icopy-site/awesome-cn - 超赞列表合集
• myreader-io/myGPTReader - A community-driven way to read and chat with AI bots - powered by chatGPT.
• qcraftai/pillar-motion - Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
• qcraftai/pillarnext - PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
• fossfreedom/indicator-sysmonitor - Ayatana application indicator to show various system parameters - Debian and Ubuntu
• leafqycc/rknn-multi-threaded - A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。
• fcjian/AeDet - AeDet: Azimuth-invariant Multi-view 3D Object Detection, CVPR2023
• BraveGroup/FullySparseFusion - Fully Sparse Fusion for 3D Object Detection
• thu-ml/3D_Corruptions_AD - Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023
• yoxu515/aot-benchmark - An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
• OuyangJunyuan/pcvt - point cloud type conversion all(partial actually) in one! [ bin(kitti) ⇋ pcd(pcl) ⇋ msg(ros) ⇋ ... ]
• tolgabirdal/Mitsuba2PointCloudRenderer - rendering (optionally temporal) point clouds using Mitsuba2
• OuyangJunyuan/PointCloudRenderer - a point cloud renderer based on mitsuba3
• OuyangJunyuan/RobDet3D -
• shorie000/3DSSD-TFv2 - 3DSSD's implementation with TensorFlow v2.
• Jazzcharles/OVSegmentor - OVSegmentor, CVPR23
• eriksandstroem/Point-SLAM - Point-SLAM: Dense Neural Point Cloud-based SLAM
• Vision-CAIR/MiniGPT-4 - Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
• tianrun-chen/SAM-Adapter-PyTorch - Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
• BingfengYan/VISAM - Combining "segment-anything" with MOT, it create the era of "MOTS"
• openai/consistency_models - Official repo for consistency models.
• zhangyp15/OccFormer - [ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
• azhuantou/HSSDA - [CVPR 2023] Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
• valeoai/SALUDA - Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".
• Significant-Gravitas/AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
• baaivision/Painter - Painter & SegGPT Series: Vision Foundation Models from BAAI
• pengyang1225/mobileone-yolov5 -
• JiayuZou2020/DiffBEV - Official PyTorch implementation for a conditional diffusion probability model in BEV perception
• open-mmlab/playground - A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
• PaddlePaddle/PaddleDepth -
• sotetsuk/pgx - ♟️ Vectorized RL game environments in JAX
• luchris429/purejaxrl - Really Fast End-to-End Jax RL Implementations
• NVIDIA/cuda-python - CUDA Python: Performance meets Productivity
• jzhang538/PointCert - [CVPR 2023] "PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees": official code implementation.
• PJLab-ADG/3DTrans - An open-source codebase for exploring autonomous driving pre-training
• hujiecpp/YOSO - Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]
• VainF/Torch-Pruning - [CVPR 2023] DepGraph: Towards Any Structural Pruning
• ViTAE-Transformer/SimDistill - The official repo for [AAAI 2024] "SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection""
• kabouzeid/point2vec - [GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds
• sail-sg/inceptionnext - InceptionNeXt: When Inception Meets ConvNeXt (CVPR 2024)
• TRI-ML/VEDet -
• ucla-mobility/V2V4Real - [CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"
• hht1996ok/EA-LSS - EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
• bytedance/MRECG -
• skyhehe123/MSF - MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences (CVPR 2023)
• Jittor/JittorLLMs - 计图大模型推理库，具有高性能、配置要求低、中文支持好、可移植等特点
• MingyeXu/cp3 - CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm
• fishros/install - 一键安装程序，欢迎大家提交代码和小鱼一起一键安装停止浪费生命
• ldkong1205/Robo3D - [ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
• xyjbaal/FPCC -
• BIT-MJY/SeqOT - [TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.
• PRBonn/OverlapNet - OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
• strongwolf/o2f - One-to-Few Label Assignment for End-to-End Dense Detection (CVPR2023)
• baaivision/EVA - EVA Series: Visual Representation Fantasies from BAAI
• zhenyuw16/UniDetector - Code release for our CVPR 2023 paper "Detecting Everything in the Open World: Towards Universal Object Detection".
• IDEA-Research/Lite-DETR - [CVPR 2023] Official implementation of the paper "Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR"
• GANWANSHUI/SimpleOccupancy - (IEEE TIV) A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving
• ADLab-AutoDrive/INT - Temp
• hustvl/VAD - [ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
• wzzheng/OpenOcc - Open Source 3D Occupancy Prediction Library.
• tianzhuotao/CAC -
• dvlab-research/Imbalanced-Learning - Imbalanced learning tool for imbalanced recognition and segmentation
• dvlab-research/SparseTransformer - A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).
• dvlab-research/Stratified-Transformer - Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
• Pointcept/Pointcept - Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
• dvlab-research/SphereFormer - The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
• dvlab-research/VoxelNeXt - VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
• exiawsh/StreamPETR - [ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
• gaopengcuhk/Tip-Adapter -
• lanlan96/3DRM - Pair-wise Relation Module for 3D Object Detection
• KMnP/vpt - ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
• yahuiliu99/PointConT - Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"
• qizekun/ReCon - [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
• RunpeiDong/ACT - [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
• OpenGVLab/CaFo - [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
• PKU-DAIR/Hetu - A high-performance distributed deep learning system targeting large-scale and automated distributed training.
• MediaBrain-SJTU/CoCa3D -
• MediaBrain-SJTU/Where2comm -
• haibao-yu/FFNet-VIC3D -
• zellerlab/GECCO - GEne Cluster prediction with COnditional random fields.
• ADLab-AutoDrive/BEVHeight - An official code release of our CVPR'23 paper, BEVHeight
• yifanfeng97/OS-MN40-Example -
• yifanfeng97/OS3D -
• yifanfeng97/multi-modal-generation-for-shrec22 - Multi-modal data generation for 3D objects.
• nghiahhnguyen/SHREC-protein-domains - This is team HCMUS's codebase for the SHREC'21 track: Retrieval and classification of protein surfaces equipped with physical & chemical properties.
• kaylode/shrec21-3d-mesh-retrieval - Object retrieval and classification networks trained directly on the 3D objects in mesh form.
• kaylode/theseus - General template for most Pytorch projects
• kaylode/shrec22-pothole - HCMUS Team at SHREC22: Crack and Pothole Segmentation
• liu115/light-3d-augmentation -
• liu115/mesh2voxel -
• liu115/mesh2points -
• ehaleva/RIQ - Rotation-Invariant Quantization
• zjuluolun/BEVPlace - A LiDAR-based complete global localization method.
• dingxin-zhang/PaRot - [AAAI 2023] PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration
• richardrl/bandu_v1_full_clean - Codebase for ICRA 2022 paper "Stable Object Reorientation using Contact Plane Registration"
• yizhangphd/FreqPCR - [CVPR 2023 Highlight] Frequency-Modulated Point Cloud Rendering with Easy Editing.
• gangweiX/IGEV - [CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching
• swz30/Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
• cschenxiang/DRSformer - Learning A Sparse Transformer Network for Effective Image Deraining (CVPR 2023)
• tsingqguo/efficientderain - We propose EfficientDerain for high-efficiency single-image deraining at AAAI 2021. The latest extended version has been accepted by IJCV at 2024. Please check the released code at https://github.com/
• XiaLiPKU/RESCAN - Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
• zhang-can/ECO-pytorch - PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
• PengBoXiangShang/SiamRPN_plus_plus_PyTorch - SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.
• zllrunning/SiameseX.PyTorch - A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.
• HonglinChu/SiamTrackers - (2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based o
• huanglianghua/siamrpn-pytorch - A clean PyTorch implementation of SiamRPN tracker, evaluated on 7 datasets.
• foolwood/SiamMask - [CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
• HRNet/HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
• jialeli1/lidarseg3d - A repository for LiDAR 3D semantic segmentation in autonomous driving scenarios. Also the official implementations of our ECCV 2022 paper (SDSeg3D) and CVPR 2023 paper (MSeg3D).
• megvii-research/OccDepth - Maybe the first academic open work on stereo 3D SSC method with vision-only input.
• astra-vision/MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
• antonioo-c/PiMAE - [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”
• ma-xu/FCViT - A Close Look at Spatial Modeling: From Attention to Convolution
• ma-xu/Context-Cluster - [ICLR 2023 Oral] Image as Set of Points
• ZrrSkywalker/Point-NN - [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
• AlibabaResearch/efficientteacher - A Supervised and Semi-Supervised Object Detection Library for YOLO Series
• zhulf0804/PointPillars - A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
• DeveshwarH1996/PointPillars2 - A modificatoin on the point Pillars algorithsm using hierarchical processing of point clouds
• VISION-SJTU/PillarNet - [ECCV 2022] PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection
• rstrudel/segmenter - [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
• placeforyiming/IROS21-FIDNet-SemanticKITTI - An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21
• lucidrains/vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
• cqu20160901/yolov7_caffe_onnx_tensorRT_rknn_horizon - yolov7 部署版本，后处理用python语言和C++语言形式进行改写，便于移植不同平台（caffe、onnx、tensorRT、RKNN、Horzion）。
• federicopozzi33/MobileOne-PyTorch - A PyTorch implementation of MobileOne
• JierunChen/FasterNet - [CVPR 2023] Code for PConv and FasterNet
• yinjunbo/SSDA3D - Thie repo provides the official implementation of our AAAI-2023 paper “SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud”.
• chenfei-wu/TaskMatrix -
• PJLab-ADG/OpenPCSeg - OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
• 123zmz123/ZlgCanDriver - 用于驱动周立功系列CAN卡的python 库 The zlg can driver writting by python
• FANG-MING/occupancy-for-nuscenes - 3D occupancy
• NaNaoiSong/SemiPCDet - SemiPCDet is an integrated codebase for semi-sl and sl on LiDAR-based detectors. The project is built on OpenPCDet.
• FunkyCrispy/ROS-Yolov5-OpenPCDet -
• Tsinghua-OpenICV/SharingVan-OpenPCDet - OpenPCDet package for SharingVan
• spiralray/canusb - A ROS node to provide access to LAWICEL CANUSB
• vijaysaravana/Lidar3D - Lidar based 3D Object detection using OpenPCDet on Intel NCS2 Devices with OpenVINO framework
• JeffWang987/OpenOccupancy - [ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
• PJLab-ADG/LoGoNet - [CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
• JUGGHM/PENet_ICRA2021 - ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
• hailanyi/VirConv - Virtual Sparse Convolution for Multimodal 3D Object Detection
• OpenGVLab/InternVideo - [ECCV2024] Video Foundation Models & Data for Multimodal Understanding
• OpenGVLab/InternImage - [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
• dvlab-research/ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions - The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.
• MasterBin-IIAU/Unicorn - [ECCV'22 Oral] Towards Grand Unification of Object Tracking
• GerardMaggiolino/Deep-OC-SORT - https://arxiv.org/abs/2302.11813
• mikel-brostrom/Yolov7_StrongSORT_OSNet - Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
• fpthink/STNet - 3D Siamese Transformer Network for Single Object Tracking on Point Clouds
• tusen-ai/LiDAR_SOT -
• mit-han-lab/once-for-all - [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
• GeekAlexis/FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
• kaixinbear/CAPE - (CVPR2023) CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
• wz7in/CVPR2023-VLSAT - CVPR2023 : VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
• Tsinghua-MARS-Lab/Online-HD-Map-Construction-CVPR2023 - Online HD Map Construction CVPR2023
• apple/ml-cvnets - CVNets: A library for training computer vision networks
• V2AI/EFG - An Efficient, Flexible, and General deep learning framework that retains minimal.
• Jun-CEN/CMDFusion - [RA-L 2023] CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic Segmentation
• Jun-CEN/PSL - [CVPR 2023] Enlarge Instance-specific and Class-specific Information for Open-set Action Recognition
• slothfulxtx/cxtrack3d - CXTrack:Improving 3D Point Cloud Tracking with Contextual Information (CVPR2023)
• ai4ce/DeepMapping2 - [CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
• tarashakhurana/4d-occ-forecasting - CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'
• JOP-Lee/READ - AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
• nomewang/M3DM -
• I2-Multimedia-Lab/ProxyFormer - ProxyFormer (CVPR 2023)
• pranavkdm/R-PointHop - R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method
• NVlabs/SegFormer - Official PyTorch implementation of SegFormer
• NVlabs/VoxFormer - Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
• weiyithu/SurroundOcc - [ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
• naver-ai/BlendNeRF - Official pytorch implementation of BlendNeRF (ICCV 2023)
• LSH9832/edgeyolo - an edge-real-time anchor-free object detector with decent performance
• shengyuhao/DIVOTrack - A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes (IJCV 2024)
• ARM-software/sesr - Super-Efficient Super Resolution
• yuecideng/Multiple_Planes_Detection - A fast and simple method for multi-planes detection from point cloud
• CVPR2023-3D-Occupancy-Prediction/CVPR2023-3D-Occupancy-Prediction - CVPR2023-Occupancy-Prediction-Challenge
• wzzheng/TPVFormer - [CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
• BIT-MJY/CVTNet - [TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
• MaverickPeter/DiSCO-pytorch - Differentiable Scan Context with Orientation
• yevgm/DeepAdv3D -
• PointCloudYC/ResPointNet2 - ResPointNet++ for AutoCon journal paper.
• monster-ghost/MonoDistill -
• SamsungLabs/td3d - [WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
• mit-han-lab/mcunet - [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
• TRI-ML/PF-Track - Implementation of PF-Track
• abencz/python_socketcan -
• CANToolz/CANToolz - CANToolz - Black-box CAN network analysis framework
• finderman2/CANtools - A set of python scripts for use with the CANtact CAN bus logger
• cantools/cantools - CAN bus tools.
• jxbbb/ADAPT - This repository is an official implementation of ADAPT: Action-aware Driving Caption Transformer, accepted by ICRA 2023.
• microsoft/torchscale - Foundation Architecture for (M)LLMs
• simpleinvariance/UniversalNetwork -
• wentaoyuan/it-net - Implementation of Iterative Transformer Network for 3D Point Cloud
• vanhalen42/SCARP - SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
• ZhiChen902/DetarNet - DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration (AAAI2022)
• ZhaofanQiu/SPE-Net - Code release for ECCV22 paper "SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement"
• Crane-YU/rethink_rotation - [AAAI 2023] Rethinking Rotation Invariance with Point Cloud Registration (official pytorch implementation) https://rotation3d.github.io/
• JiahuaDong/Uni3DA -
• Chumbyte/DiGS - Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)
• LiWentomng/OrientedRepPoints - The code for “Oriented RepPoints for Aerial Object Detection (CVPR 2022)”
• luost26/Equivariant-OrientedMP - 🪑 Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)
• Loahit5101/PointPillars-Camera-LiDAR-Fusion - Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.
• once-3dlanes/once_3dlanes_benchmark -
• yuliangguo/3D_Lane_Synthetic_Dataset - This is a synthetic dataset constructed to stimulate the development and evaluation of 3D lane detection methods.
• yuliangguo/Pytorch_Generalized_3D_Lane_Detection - [ECCV 2020] Official PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'
• IntelRealSense/realsense-ros - ROS Wrapper for Intel(R) RealSense(TM) Cameras
• Uvacoder/export-stars -
• guofei9987/github_star_counter - Count a GitHub user's total stars and forks
• ajhamdi/sparf_pytorch - official repo for the paper "SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images"
• yenchenlin/nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
• ajhamdi/mvtorch - a Pytorch library for multi-view 3D understanding and generation
• Eaphan/Robust3DOD - A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
• Eaphan/GLENet - GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
• Sense-GVT/Fast-BEV - Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
• median-research-group/LibMTL - A PyTorch Library for Multi-Task Learning
• valeoai/rangevit -
• Eaphan/UPIDet - Unleash the Potential of Image Branch for Cross-modal 3D Object Detection [NeurIPS2023]
• Luoyadan/CRB-active-3Ddet - The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023).
• OpenDriveLab/PPGeo - [ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.
• Linaom1214/TensorRT-For-YOLO-Series - tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support
• hnuzhy/SSDA-YOLO - [CVIU2023] Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
• ultralytics/ultralytics - Ultralytics YOLO11 🚀
• eccv22-ood-workshop/ROBIN-dataset - ECCV 2022 Workshop: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
• huixiancheng/CENet - [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
• HuguesTHOMAS/KPConv-PyTorch - Kernel Point Convolution implemented in PyTorch
• POSTECH-CVLab/point-transformer - This is an unofficial implementation of the Point Transformer paper.
• ruhyadi/yolo3d-lightning - YOLO3D: 3D Object Detection with YOLO
• ruhyadi/YOLO3D - YOLO 3D Object Detection for Autonomous Driving Vehicle
• GStreamer/gst-build - Build GStreamer and plugin modules using the Meson build system. This module has been merged into the main GStreamer repo for further development.
• dearsq/Note-xiaoshujiang - Note-xiaoshujiang
• dvlab-research/LargeKernel3D - LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
• liang3588/MeshMAE - MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
• zhangzhao2022/pointscatter - [ECCV'22 Oral] PointScatter: Point Set Representation for Tubular Structure Extraction
• megvii-research/RevCol - Official Code of Paper "Reversible Column Networks" "RevColv2"
• junjie18/CMT - [ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
• ros-tooling/cross_compile - A tool to build ROS and ROS2 workspaces for various targets
• swords123/IDA-3D - IDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving, in CVPR2020
• salesforce/ULIP -
• dvlab-research/spconv-plus -
• openai/point-e - Point cloud diffusion for 3D model synthesis
• OpenDriveLab/UniAD - [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
• JeffWang987/ASAP - [CVPR 2023] Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
• haomo-ai/OverlapTransformer - [RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
• haomo-ai/MotionSeg3D - [IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
• haomo-ai/SuperFusion - [ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
• hpi-xnor/bitorch - BITorch: Open-Source Implementation of Binary Neural Networks with PyTorch
• mit-han-lab/tiny-training - On-Device Training Under 256KB Memory [NeurIPS'22]
• hpi-xnor/BNext - Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
• ZrrSkywalker/I2P-MAE - [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
• chainer/chainer - A flexible framework of neural networks for deep learning
• Oneflow-Inc/one-yolov5 - A more efficient yolov5 with oneflow backend 🎉🎉🎉
• chiehpower/Setup-deeplearning-tools - Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.
• pytorch/torchdynamo - A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
• ENOT-AutoDL/ONNX-Runtime-with-TensorRT-and-OpenVINO - Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment
• Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB - 💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
• cqu20160901/yolop_onnx_tensorRT_rknn_horizon - yolop 部署版本，后处理用python语言以C++方式形式进行改写，便于移植不同平台（onnx、tensorRT、rknn）。
• acheong08/ChatGPT - Reverse engineered ChatGPT API
• Nightmare-n/GraphRCNN - Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph (ECCV 2022, Oral) 🔥
• Nightmare-n/GD-MAE - GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)
• pytorch/ort - Accelerate PyTorch models with ONNX Runtime
• PolySync/core-python-api - An experimental PolySync Core Python 3 API.
• maudzung/YOLO3D-YOLOv4-PyTorch - YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)
• Yuanchu/YOLO3D - Implementation of a basic YOLO model for object detection in 3D
• ForestMa/SOPHGO-HVOD-Contest -
• facebookresearch/mae - PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
• microsoft/onnxscript - ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
• sunjiahao1999/SPFormer -
• Megvii-BaseDetection/DeFCN - End-to-End Object Detection with Fully Convolutional Network
• PeizeSun/OneNet - [ICML2021] What Makes for End-to-End Object Detection
• YiqunChen1999/date - DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection
• megvii-research/MOTRv2 - [CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
• Try2ChangeX/NanoTrack_RK3588_python - python版本基于rk3588的NanoTrack,每秒可达120FPS
• tinyvision/DAMO-YOLO - DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
• open-v2x/lidar - OpenV2X lidar
• hht1996ok/GAM - GAM : Gradient Attention Module of Optimization for Point Clouds Analysis (AAAI2023)
• Serenos/LWSIS - An official implementation of AAAI2023 paper "LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving"
• hailanyi/TED - Transformation-Equivariant 3D Object Detection for Autonomous Driving
• BBuf/tvm_mlir_learn - compiler learning resources collect.
• opendr-eu/opendr - A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
• jose-zhou/openPCDetExportONNX -
• ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation - Python scripts for performing 6D pose estimation and shape reconstruction using the CenterSnap model in ONNX
• UM-ARM-Lab/pytorch_mppi - Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
• UM-ARM-Lab/pytorch_collision_checker - PyTorch Collision Checker
• LoyalLumber/Benchmark_3DOD -
• zju3dv/Vox-Fusion - Code for "Dense Tracking and Mapping with Voxel-based Neural Implicit Representation", ISMAR 2022
• zju3dv/Vox-Surf - Code for "Vox-Surf: Voxel-based Implicit Surface Representation", TVCG 2022
• zju3dv/ENeRF - SIGGRAPH Asia 2022: Code for "Efficient Neural Radiance Fields for Interactive Free-viewpoint Video"
• RapidAI/RapidOCR - 📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO and PaddlePaddle.
• DanceTrack/DanceTrack - [CVPR2022] DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion
• PeizeSun/TransTrack - Multiple Object Tracking with Transformer
• Gorilla-Lab-SCUT/TTAC - [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
• Gorilla-Lab-SCUT/SSTNet - Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
• POSTECH-CVLab/FastPointTransformer - Official source code of Fast Point Transformer, CVPR 2022
• ThibaultGROUEIX/3D-CODED - Pytorch Implementation for the project : 3D-CODED and Learning Elementary Structure
• albertotamajo/Shrinking-unit - Shrinking unit: a graph convolution-based unit for CNN-like 3D point cloud feature extractors
• konstantinkobs/DML-analysis - Code and data for our ICCV 2021 paper "Do Different Deep Metric Learning Losses Lead to Similar Learned Features?"
• GostInShell/PaRI-Conv - Official Implementation of "The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution" (CVPR 2022)
• KaidongLi/pytorch-LatticePointClassifier -
• QiujieDong/Laplacian2Mesh - Laplacian2Mesh: Laplacian-Based Mesh Understanding
• yangyangyang127/PointCLIP_V2 - [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
• zhulf0804/PV-Ada - The second place solution to ModelNet-C classification in PointCloud-C Challenge 2022 (ECCV'22 Workshop).https://arxiv.org/abs/2210.15514
• XJTU-Haolin/3D_Harmonic_Loss_for_Object_Detection - 3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration
• sandeep-krishnamurthy/dl-operator-benchmark - Framework for benchmarking deep learning operators for Apache MXNet
• DeepLink-org/DLOP-Bench - A benchmark suited especially for deep learning operators
• QingyongHu/SQN - SQN in Tensorflow (ECCV'2022)
• zhulf0804/3D-PointCloud - Papers and Datasets about Point Cloud.
• virtual-vehicle/pointcloudset - Efficient analysis of large datasets of point clouds recorded over time
• ChengpengChen/RepGhost - RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
• ThibaultGROUEIX/AtlasNet - This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) fr
• autonomousvision/occupancy_flow - This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"
• autonomousvision/occupancy_networks - This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
• zetane/viewer - ML models and internal tensors 3D visualizer
• legolas123/cv-tricks.com - Repository for all the tutorials and codes shared at cv-tricks.com
• PyGithub/PyGithub - Typed interactions with the GitHub API v3
• huggingface/accelerate - 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
• huggingface/transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
• amro-kamal/ObjectPose -
• OpenGVLab/UniFormerV2 - [ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
• SPengLiang/LPCG - [ECCV 2022] Lidar Point Cloud Guided Monocular 3D Object Detection.
• hzykent/LiDAL - Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation
• Cc-Hy/CMKD - Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection (ECCV 2022 Oral)
• ShoufaChen/DiffusionDet - [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
• PRBonn/4DMOS - Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
• val-iisc/3d-lmnet - Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
• CVMI-Lab/FS3D - (NeurlPS 2022) Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
• libffcv/ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
• LeoQLi/HSurf-Net - HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
• fudan-zvg/PolarFormer - [AAAI 2023] PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
• weixmath/PDG -
• 3db/blog_demo - Data, configs, and code for the walkthrough from the 3DB blogpost: https://gradientscience.org/3db
• 3db/3db - A framework for analyzing computer vision models with simulated data
• dscdyc/MsSVT - Repo of "MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds".
• Haiyang-W/CAGroup3D - [NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".
• CVMI-Lab/SparseKD - (NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation
• Sense-X/AGVM - Large-batch Optimization for Dense Visual Predictions (NeurIPS 2022)
• wangx1996/CenterBEV - A deep learning method for pointcloud object detection.
• wangx1996/CenterPillarNet - An anchor free method for pointcloud object detecion.
• YurongYou/Hindsight - Code release for "Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception" [ICLR 2022]
• whucsy/RotTrans -
• HpWang-whu/YOHO - [ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
• antoalli/3D_OS -
• elicassion/3DTRL - Code for NeurIPS 2022 paper "Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space"
• autonomousvision/voxgraf - Official code release for VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
• facebookresearch/SlowFast - PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
• LittlePey/SFD-TWISE -
• lvyufeng/easy_mindspore_bk -
• grispeut/TSD_mindspore - 第三届华为云无人车挑战杯复赛Top1方案分享, Traffic sign detection, yolov4, mindspore
• pprp/GoodsRecognition.MindSpore - 基于MindSpore AI框架实现零售商品识别 top1方案
• mindspore-lab/mindface - MindFace is an open source toolkit based on MindSpore, containing the most advanced face recognition and detection models, such as ArcFace, RetinaFace and other models
• mindspore-lab/mindcv - A toolbox of vision models and algorithms based on MindSpore
• qq456cvb/CanonicalVoting - Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes (CVPR2022)
• skyhehe123/VoxSeT - Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)
• Cliu2/MTrans - The PyTorch implementation of 'Multimodal Transformer for Automatic 3D Annotation and Object Detection'.
• imransai/TWISE - Code for CVPR 2021 Submission of our paper 'Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries'
• LittlePey/SFD - Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)
• cgtuebingen/SpatialDETR - Official implementation of SpatialDETR. The paper will be presented at ECCV 2022
• Ascend/ModelZoo-PyTorch -
• Ascend/ascend-deployer -
• Ascend/mindxdl-deploy -
• Ascend/ModelZoo-TensorFlow -
• amazon-science/tracking-dataset -
• BorealisAI/DT-Fixup - Optimizing Deeper Transformers on Small Datasets https://arxiv.org/abs/2012.15355
• Westlake-AI/openmixup - CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
• facebookresearch/ConvNeXt - Code release for ConvNeXt model
• vLAR-group/UnsupObjSeg - 🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)
• vLAR-group/DM-NeRF - 🔥DM-NeRF in PyTorch (ICLR 2023)
• kiwicampus/rosboard_client - Client for remotely streaming ROS messages through websockets using rosboard as server
• hkzhang-git/ParC-Net - [ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
• vLAR-group/OGC - 🔥OGC in PyTorch (NeurIPS 2022 & TPAMI 2024)
• yewzijian/3DFeatNet - 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
• paulwong16/DeepVCP - Code for reproducing DeepVCP
• vccheng2001/DeepVCP-Pointcloud-Registration -
• WangYueFt/dcp -
• hyangwinter/flownet3d_pytorch - The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d
• conan-io/conan-center-index - Recipes for the ConanCenter repository
• vietanhdev/tf-blazepose - BlazePose - Super fast human pose detection on Tensorflow 2.x
• jiang-du/BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
• geaxgx/depthai_blazepose -
• VNOpenAI/pushup-counter-app - Count pushups from video/webcam. Tech stack: Keypoint detection, BlazePose, action recognition.
• sbis04/blazepose-oak - OAK Blazepose
• vincentfung13/MINE - Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"
• luigifreda/pyslam - pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pipeli
• conan-community/conan-pybind11 - [OBSOLETE] The recipe is now in https://github.com/conan-io/conan-center-index
• conan-community/conan-boost - [OBSOLETE] The recipe is now in https://github.com/conan-io/conan-center-index
• conan-community/conan-opencv - [DEPRECATED] Conan recipes for OpenCV
• erdos-project/pylot - Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
• Kin-Zhang/mmfn - [IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving
• Bosszhe/PITF - TransFuser with PointPillar
• Project-MONAI/MONAI - AI Toolkit for Healthcare Imaging
• jianboqi/CSFTools - Tools to processing LiDAR point cloud
• phodal/awesome-iot - Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
• Mrmoore98/VectorMapNet_code - This is the official code base of VectorMapNet (ICML 2023)
• hustvl/MapTR - [ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
• ybarancan/STSU - Official code for "Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images" (ICCV 2021)
• manila95/monolayout - MonoLayout: Amodal Scene Layout from a single image
• Avinash2468/RackLay - RackLay: Monocular Multi-Layered Layout Estimation for Warehouses with Sim2Real Transfer
• bradyz/cross_view_transformers - Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
• HFAiLab/hdmapnet -
• peiyunh/ff - Safe Local Motion Planning with Self-Supervised Freespace Forecasting, CVPR 2021
• Shimingyi/MotioNet - A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
• frankfengdi/LidarMTL - The official code release of LidarMTL, a simple and efficient multi-task network for 3D object detection and road understanding
• sovrasov/flops-counter.pytorch - Flops counter for convolutional networks in pytorch framework
• skhadem/3D-BoundingBox - PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
• dingmyu/D4LCN - A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020
• Nicholasli1995/EgoNet - Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
• sovrasov/3d-object-detection.pytorch -
• axinc-ai/ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK
• open-mmlab/mmeval - A unified evaluation library for multiple machine learning libraries
• Xilinx/XilinxBoardStore -
• ming71/yolov3-polygon - Arbitrary-oriented object detection based on yolov3.
• mesonbuild/meson - The Meson Build System
• Jittor/JSparse - JSparse is a high-performance auto-differentiation library for sparse voxels computation and point cloud processing based on TorchSparse and Jittor.
• taichi-dev/image-processing-with-taichi -
• triton-inference-server/server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.
• diegovalsesia/HyCoRe - Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
• ZhanHeshen/PointCMT - [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
• conan-io/conan - Conan - The open-source C and C++ package manager
• OpenPPL/ppq - PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
• xiguadong/pcl_for_linux -
• xoz1206/CalibDNN - 2021, CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks 구현
• IIPCVLAB/LCCNet - Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.
• Xilinx/finn - Dataflow compiler for QNN inference on FPGAs
• vision-agh/finn_fork_pp_lidar -
• vision-agh/pointpillars-backbone -
• DeepVAC/deepvac - PyTorch Project Specification.
• IRMVLab/3DFlow - Codes for ECCV2022 paper "What matters in supervised 3D scene flow"
• Divadi/SOLOFusion - Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
• Staok/Awesome-K210 - 收集关于K210的MaixPy开发和SDK IDE开发等的软硬件入门资料，帮助初学者快速了解、学习和使用K210
• sipeed/MaixPy-v1 - MicroPython for K210 RISC-V, let's play with edge AI easier
• vseasky/yolo-for-k210 - Yolo-for-k210
• LZBUAV/K210 - Kendryte K210人工智能芯片应用程序集合，包括人脸检测、颜色检测、目标检测和分类、二维码和Apriltag代码检测以及和ArduPilot飞控软件的通信。这些应用程序已部署到无人机终端。This repository is a collection of applications for the Kendryte K210 AI chip which include face detec
• Pointcept/PointTransformerV2 - [NeurIPS'22] An official PyTorch implementation of PTv2.
• IDEA-Research/detrex - detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
• Livox-SDK/livox_detection - Livox open source detection algorithm
• opendilab/InterFuser - [CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
• dotchen/LAV - (CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
• noahcao/OC_SORT - [CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
• shinya7y/UniverseNet - USB: Universal-Scale Object Detection Benchmark (BMVC 2022)
• WongKinYiu/yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
• nachiket92/PGP - Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
• nachiket92/P2T - Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735
• Khrylx/AgentFormer - [ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
• ldkong1205/PointCloud-C - Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions
• ldkong1205/LaserMix - [CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
• cardwing/Codes-for-PVKD - Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
• fudan-zvg/Ego3RT - [ECCV 2022] Learning Ego 3D Representation as Ray Tracing
• fudan-zvg/DeepInteraction - [NeurIPS 2022] DeepInteraction: 3D Object Detection via Modality Interaction
• huawei-noah/Pretrained-Language-Model - Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
• jhli2019/CVproject - 抖音项目源码分享
• chaiNNer-org/chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful
• NVIDIA-AI-IOT/viz_3Dbbox_ros2_pointpillars - Visualization tool for 3D bounding box results of TAO-PointPillars
• andravin/wincnn - Winograd minimal convolution algorithm generator for convolutional neural networks.
• qiulinzhang/SPConv.pytorch - [ IJCAI-20 ] Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution
• danielcyrus/Offscreen - Offscreen render 3D scene with OpenGL using EGL, GL and GLU. Developed to run on systems with no X server
• KernelA/egl-offscreen-render - OpenGL offscreen rendering with EGL and antialiasing
• nicolaihaeni/shapenet-pyrender - A simple script to render RGB-D images of shapenet models with Pyrenderer
• BerkeleyAutomation/perception - AUTOLab perception toolkit
• vguzov/cloudrender - An OpenGL framework for pointcloud and mesh rendering
• JinyongJeong/DeeplabV3_Apolloscape_and_CityScape -
• commaai/openpilot - openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
• Matchstic/stanley - An autonomous drone to follow a person, using the OAK-D Lite and MAVLink
• SpectacularAI/sdk-examples - Spectacular AI SDK examples
• ibaiGorordo/ONNX-CREStereo-Depth-Estimation - Python scripts performing stereo depth estimation using the CREStereo model in ONNX.
• JetsonHacksNano/CSI-Camera - Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit
• Huiminshii/DPNet - DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention
• OpenPPL/CuAssembler - An unofficial cuda assembler, for all generations of SASS, hopefully ：）
• nv-tlabs/GET3D -
• Megvii-BaseDetection/BEVDepth - Official code for BEVDepth.
• Megvii-BaseDetection/cvpods - All-in-one Toolbox for Computer Vision Research.
• wcirq/trt-samples-for-hackathon-cn -
• NVIDIA/trt-samples-for-hackathon-cn - Simple samples for TensorRT programming
• cloudcores/CuAssembler - An unofficial cuda assembler, for all generations of SASS, hopefully ：）
• Megvii-BaseDetection/BEVStereo - Official code for BEVStereo
• facebookincubator/AITemplate - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
• NVIDIA/MinkowskiEngine - Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
• haiduo/sparse_model - 比较了目前主流的3D点云稀疏加速四大框架，具体分为， mit-han-lab的torchsparse、NVIDAI的MinkowskiEngine、 Tusimple的spconv、facebookresearch的SparseConvNet。
• songw-zju/Meta-RangeSeg - The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS 2022)
• haibo-qiu/GFNet - [TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation
• yanx27/2DPASS - 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥
• TiagoCortinhal/SalsaNext - Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
• TRI-ML/sdflabel - Official PyTorch implementation of CVPR 2020 oral "Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors"
• TRI-ML/dd3d - Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
• stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus - Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
• waymo-research/waymo-open-dataset - Waymo Open Dataset
• datvuthanh/HybridNets - HybridNets: End-to-End Perception Network
• yizhou-wang/RODNet - RODNet: Radar object detection network
• msracver/Deformable-ConvNets - Deformable Convolutional Networks
• hylmak/Tracking-Objects-as-Points -
• brandesjj/centerfusionpp - CenterFusion++ is a frustum propsal-based camera and radar sensor fusion network.
• HaohaoNJU/CenterFusion - NN-based radar-camera post sensor fusion implemented by TensorRT
• abewley/sort - Simple, online, and realtime tracking of multiple objects in a video sequence.
• PaddlePaddle/PaddleYOLO - 🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
• JeffCarpenter/export-stars - Export (your) GitHub stars to a CSV file
• GCaptainNemo/RTSP-camera-display-realtime - Grab Hikvision network camera and display it in pyqt control in real time.
• miemie2013/Pytorch-PPYOLO - ppyolo in pytorch. 44.8% box mAP.
• esdolo/ImmortalTracker -
• hailanyi/CasA - A Cascade Attention Network for 3D Object Detection from LiDAR point clouds
• hailanyi/3D-Multi-Object-Tracker - A project for 3D multi-object tracking
• OpenDriveLab/Birds-eye-view-Perception - [IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
• whai362/PVT - Official implementation of PVT series
• szq0214/SReT - Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
• dog-qiuqiu/FastestDet - ⚡ A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is
• dog-qiuqiu/Yolo-FastestV2 - ⚡ Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
• wangxiyang2022/DeepFusionMOT - Code for RA-L journal and IROS 2022 paper "DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association".
• yan-wyb/rtsp-web-appliation -
• bitfsd/ConeDetection - Detection moudle using paddlepaddle for formular student driverless
• hcwinsemius/RTK_GNSS - Manual for RTK GNSS with low cost u-blox ZED-F9P receivers rover-base setup
• Toytiny/RaFlow - [RA-L & IROS'22] Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
• TUMFTM/RadarSeg -
• Toytiny/RadarNet-pytorch - [ECCV'20] RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects (PyTorch - unofficial)
• TUMFTM/CameraRadarFusionNet -
• megvii-research/megvii-pku-dl-course - Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.
• dmlc/dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
• NobuoTsukamoto/tflite-cv-example - TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).
• ch-sa/labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.
• kylevedder/SparsePointPillars -
• CSL-KU/Anytime-Lidar - OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
• mindspore-ai/models -
• ljie-PI/lidar-perception-models -
• AbangLZU/PointPillars-TF - PointPillars implementation using TensorFlow.
• ModelTC/United-Perception - United Perception
• open-mmlab/mmyolo - OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
• yuhuan-wu/P2T - [TPAMI22] Pyramid Pooling Transformer for Scene Understanding
• davidsandberg/facenet - Face recognition using Tensorflow
• ultralytics/yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
• DerrickXuNu/CoBEVT - [CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
• YuanYunshuang/FPV_RCNN -
• Tencent/PocketFlow - An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
• BenWhetton/keras-surgeon - Pruning and other network surgery for trained Keras models.
• mit-han-lab/haq - [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
• microsoft/LQ-Nets - LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
• facebookresearch/kill-the-bits - Code for: "And the bit goes down: Revisiting the quantization of neural networks"
• google/qkeras - QKeras: a quantization deep learning library for Tensorflow Keras
• microsoft/nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
• tensorflow/model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
• MegEngine/mgeconvert - MegEngine到其他框架的转换器
• MegEngine/examples - A set of examples around MegEngine
• AIR-THU/DAIR-V2X -
• PINTO0309/simple-onnx-processing-tools - A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB t
• PaddlePaddle/PaddleSlim - PaddleSlim is an open-source library for deep model compression and architecture search.
• Megvii-BaseDetection/YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
• TuSimple/centerformer - Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)
• Jun-CEN/Open-world-3D-semantic-segmentation - [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds
• rusty1s/pytorch_scatter - PyTorch Extension Library of Optimized Scatter Operations
• SxJyJay/MSMDFusion - [CVPR 2023] MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
• zhechen/PLARD - Progressive LiDAR Adaptation for Road Detection
• soimort/you-get - ⏬ Dumb downloader that scrapes the web
• Oneflow-Inc/vision - Datasets, Transforms and Models specific to Computer Vision
• OpenDriveLab/Openpilot-Deepdive - Our insights of Openpilot, a deepdive project on it
• OpenDriveLab/TCP - [NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
• OpenDriveLab/ST-P3 - [ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.
• facebookresearch/omni3d - Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"
• Gorilla-Lab-SCUT/VISTA - This repo presents you the official code of "VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention"
• godweiyang/NN-CUDA-Example - Several simple examples for popular neural network toolkits calling custom CUDA operators.
• weiyithu/LiDAR-Distillation - [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
• likedan/Awesome-CoreML-Models - Largest list of models for Core ML (for iOS 11+)
• apple/coremltools - Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
• rockchip-linux/rknn-toolkit -
• AI-liu/Complex-YOLO - Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
• littledeep/YOLOv5-RK3399Pro - PyTorch-->ONNX-->RKNN
• alibaba/EasyCV - An all-in-one toolkit for computer vision
• htshinichi/caffe-onnx - caffe model convert to onnx model
• apache/tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
• chiphuyen/stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
• kamanphoebe/MotionDetection - Optical Flow Based Motion Detection for Autonomous Driving
• Algolzw/NCNet - [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution
• CAIC-AD/YOLOPv2 - YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception
• hlsheng1/RDIoU - "Rethinking IoU-based Optimization for Single-stage 3D Object Detection", ECCV2022 accept!
• POSTECH-CVLab/PeRFception - [NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.
• YuHengsss/YOLOV - This repo is an implementation of PyTorch version YOLOV Series
• zhangyp15/SimMOD - Implementation of SimMOD: A Simple Baseline for Multi-Camera 3D Object Detection
• Sense-X/UniHead - Unifying Visual Perception by Dispersible Points Learning (ECCV 2022)
• hpc203/yolov7-opencv-onnxrun-cpp-py - 分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测，一共包含14个onnx模型，依然是包含C++和Python两个版本的程序
• PaddlePaddle/Paddle3D - A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
• ethnhe/PVN3D - Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020
• pytorch/builder - Continuous builder and binary build scripts for pytorch
• jiachens/ModelNet40-C - Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
• wavefrontshaping/complexPyTorch - A high-level toolbox for using complex valued neural networks in PyTorch
• mfxox/ILCC - Intensity-based_Lidar_Camera_Calibration
• julrog/nn_vis - A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
• Xilinx/Vitis-AI - Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
• VISION-SJTU/PillarNet-LTS -
• BraveGroup/DCD - Densely Constrained Depth Estimator for Monocular 3D Object Detection (ECCV2022)
• wangzy22/P2P - [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
• google-research/deeplab2 - DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
• aleksandrkim61/PolarMOT - Official code for "PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?" [ECCV 2022]
• BBuf/onnx2X - ONNX2Pytorch
• david-knigge/ccnn - Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.
• dvlab-research/FocalsConv - Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)
• dvlab-research/DeepVision3D - DeepVision3D is an open source toolbox for point-cloud understanding.
• open-mmlab/mim - MIM Installs OpenMMLab Packages
• zehuichen123/AutoAlignV2 - [ECCV2022, IJCAI2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
• ShenZheng2000/PointNorm-for-Point-Cloud-Analysis - This is the official Pytorch implementation of our paper "PointNorm: Normalization is All You Need for Point Cloud Analysis""
• a1600012888/MUTR3D - Code for Paper, MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. https://tsinghua-mars-lab.github.io/mutr3d/
• Tsinghua-MARS-Lab/futr3d - Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
• Tsinghua-MARS-Lab/DenseTNT -
• openvinotoolkit/open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)
• DerrickXuNu/v2x-vit - [ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"
• MCG-NJU/CamLiFlow - [CVPR 2022 Oral & TPAMI 2023] Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion
• WisconsinAIVision/yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
• hpc203/yolact-opencv-dnn-cpp-python - 使用opencv部署yolact实例分割，包含C++和Python两种版本的程序
• dbolya/yolact - A simple, fully convolutional model for real-time instance segmentation.
• AgentMaker/PAPC - PAPC is a deep learning for point clouds platform based on pure PaddlePaddle
• tyagi-iiitv/PointPillars -
• lucasjinreal/yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
• guochengqian/openpoints - OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for PointNeXt
• mit-han-lab/bevfusion - [ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
• Lam1360/YOLOv3-model-pruning - 在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）
• open-mmlab/mmdeploy - OpenMMLab Model Deployment Framework
• 666DZY666/micronet - micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-
• NVIDIA-AI-IOT/yolo_deepstream - yolo model qat and deploy with deepstream&tensorrt
• onnx/onnxmltools - ONNXMLTools enables conversion of models to ONNX
• onnx/onnx - Open standard for machine learning interoperability
• autowarefoundation/modelzoo - A collection of machine-learned models for use in autonomous driving applications.
• hpcaitech/ColossalAI-Examples - Examples of training models with hybrid parallelism using ColossalAI
• hpcaitech/ColossalAI - Making large AI models cheaper, faster and more accessible
• LimHyungTae/ERASOR - Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
• NaiyuGao/PanopticDepth - PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation （CVPR2022）
• Jasonkks/PTTR - Pytorch Implementation of PTTR: Relational 3D Point Cloud Object Tracking with Transformer
• dvlab-research/UVTR - Unifying Voxel-based Representation with Transformer for 3D Object Detection (NeurIPS 2022)
• hustvl/Featurized-QueryRCNN - Featurized Query R-CNN
• megvii-research/PETR - [ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
• kaist-avelab/K-Lane - The World's First Large Scale Lidar Lane Detection Dataset and Benchmark
• nie-lang/DeepRectangling - CVPR2022 (Oral) - Deep Rectangling for Image Stitching: A Learning Baseline
• zhangyp15/BEVerse - The official repository for BEVerse
• ADLab-AutoDrive/BEVFusion - Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
• CityU-AIM-Group/SIGMA - [CVPR' 22 ORAL] SIGMA: Semantic-complete Graph Matching for Domain Adaptative Object Detection
• RunpeiDong/PointDistiller - [CVPR 2023] PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
• amazon-science/patchcore-inspection -
• 4DVLab/STCrowd -
• kienduynguyen/BoxeR - Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"
• ocNflag/point2seq -
• hancyran/RepSurf - [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
• OpenDriveLab/PersFormer_3DLane - [ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
• Tsinghua-MARS-Lab/HDMapNet -
• fundamentalvision/BEVFormer - [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
• dragonlong/equi-pose - [NeurIPS 2021], self-supervised 6D pose on category level
• hustvl/AziNorm - AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception, CVPR 2022.
• guochengqian/ASSANet - [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
• HaochengWan/PVT - PVT: Point-Voxel Transformer for 3D Deep Learning
• SimingYan/IAE - [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"
• axeber01/point-tnt - Official implementation of the Point Transformer-in-Transformer: https://arxiv.org/abs/2204.03957
• SMohammadi89/PointView-GCN - The code and dataset will be available soon here
• raoraoxiong/face-reid - 人脸特征重识别
• jx-zhong-for-academic-purpose/Kinet - [CVPR 2022] No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces
• yifanzhang713/IA-SSD - Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
• TheAlgorithms/Python - All Algorithms implemented in Python
• pytorch/pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
• JiaRenChang/PSMNet - Pyramid Stereo Matching Network (CVPR2018)
• Yonv1943/Python - Demo and other Python3 code
• llien30/point_cloud_anomaly_detection -
• YWQQQQQQ/fewshot-3d -
• XuyangBai/TransFusion - [PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
• lucasjinreal/alfred - alfred-py: A deep learning utility library for human, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
• kosuke55/shapenet_utils -
• jfzhang95/pytorch-deeplab-xception - DeepLab v3+ model in PyTorch. Support different backbones.
• ArashJavan/veloparser - A tiny pure python Velodyne pcap file to point clouds parser
• leihui6/ACP-3Detection - [ICRA 2021] Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator
• hitxing/Lidar-data-decode - test
• hrzhou2/AdaptConv-master - Adaptive Graph Convolution for Point Cloud Analysis
• ashleylid/ShapeNetCoreMetadata - Rename and copy obj and mtl files after downloading shapenet
• salehjg/Shapenet2_Preparation - A python script to convert and down-sample mesh data into pointclouds using FPS algorithm.
• Yang7879/3D-RecGAN-extended - 🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)
• antao97/UnsupervisedPointCloudReconstruction - Experiments on unsupervised point cloud reconstruction.
• ma-xu/pointMLP-pytorch - [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
• hughw19/NOCS_CVPR2019 - [CVPR2019 Oral] Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras
• j96w/DenseFusion - "DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
• microsoft/singleshotpose - This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018.
• wadimkehl/ssd-6d - Inference code and trained networks for SSD-6D
• wangzhuo2019/SSAN - Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing, CVPR2022.
• tiandunx/FFC - Official code for fast face classification
• kareem-metwaly/glidenet - This repository contains the implementation and the building blocks of GlideNet and Informed Convolution. This work is published at CVPR 2022 paper titled "GlideNet: Global, Local and Intrinsic based
• tensorflow/lingvo - Lingvo
• TRAILab/PDV - Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)
• DingXiaoH/RepLKNet-pytorch - Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
• MegEngine/RepLKNet - Official MegEngine implementation of RepLKNet
• cfzd/Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
• Pang-Yatian/Point-MAE - [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
• liuruijin17/LSTR - This is an official repository of End-to-end Lane Shape Prediction with Transformers.
• LiyaoTang/contrastBoundary - Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)
• lucadellalib/tensor-field-networks - TensorFlow implementation of Tensor Field Networks. Developed and tested on Ubuntu 18.04 LTS
• FlyingGiraffe/vnn - Vector Neurons: A General Framework for SO(3)-Equivariant Networks
• voldemortX/pytorch-auto-drive - PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchm
• vision4robotics/TCTrack - TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022) & TCTrack++ (TPAMI)
• shikiw/SI-Adv - [CVPR 2022] Shape-invariant Adversarial Point Clouds
• zhangzhengde0225/CDNet - The tutorials, datasets and source codes of the crosswalk detection (zebra crossing detection) network, which is robust in real scenes and real-time in Jetson nano. cross. detect. pedestrian.
• bsuleymanov/mip-nerf - Mip-NeRF in Pytorch
• cassiePython/CLIPNeRF - CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
• Xharlie/pointnerf - Point-NeRF: Point-based Neural Radiance Fields
• robinwang1/ART-Point -
• simonwu53/NetCalib-Lidar-Camera-Auto-calibration - NetCalib: A Novel Approach for Lidar-Camera Auto-calibration Based on Deep Learning
• ifzhang/FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
• CaptainEven/FairMOTVehicle - A fork of FairMOT used to do vehicle MOT.用于跟踪车辆的多目标跟踪, 自定义数据进行单类别多目标实时跟踪
• zhongqianli/pdf_paper_rename -
• euske/pdfminer - Python PDF Parser (Not actively maintained). Check out pdfminer.six.
• facebookresearch/banmo - BANMo Building Animatable 3D Neural Models from Many Casual Videos
• ge25nab/MultiviewPointpillars - Multiview variant of Pointpillars. Contains Pytorch reimplementation of Pillar-od.
• naurril/afdet -
• hlesmqh/WS3D - Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
• maudzung/CenterNet3D-PyTorch - Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"
• AlejandroBarrera/birdnet2 - Official Pytorch implementation of Birdnet+
• SH-Tan/RangeRcnn-backbone - The backbone of the RangeRCNN, including DRB, Downsample, UpSample blocks.
• thangvubk/SoftGroup - [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
• xinge008/Cylinder3D - Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
• hongfz16/DS-Net - [CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)
• ngowilliam1/centerfusion_depth_factor -
• AllenPeng0209/deeproute_competition -
• konyul/mmdet3d - mmdet3d
• jhkim-spa/FVNet_v2 -
• anshulpaigwar/Frustum-Pointpillars - Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
• SamsungLabs/fcaf3d - [ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
• KookHoiKim/GroupFree3dBaseline -
• cheng052/BRNet - (CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
• fregu856/ebms_3dod - Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.
• yichen928/STRL - Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)
• overfitover/pixor_pytorch - [Bird's Eye View Object Detection Algorithm for self-driving Cars] pytorch for PIXOR
• matssteinweg/PIXOR - Unofficial PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds
• happinesslz/EPNet - EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020)
• VISION-SJTU/PointAugmenting - [CVPR2021] PointAugmenting: Cross-Modal Augmentation for 3D Object Detection
• JenningsL/PointRCNN - PointRCNN+Frustum Pointnet
• melfm/avod-ssd - Code for 3D single stage object detection for autonomous driving
• rasd3/3D-CVF - [ECCV 2020] This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
• Chanuk-Yang/Deep_Continuous_Fusion_for_Multi-Sensor_3D_Object_Detection -
• Laiqingsi/CLOCs_LQS - An implementation of CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection.
• pangsu0613/CLOCs - CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
• xinshuoweng/Xinshuo_PyToolbox - A Python toolbox that contains common help functions for stream I/O, image & video processing, and visualization. All my projects depend on this toolbox.
• XuehaiPan/nvitop - An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
• MohamedAfham/CrossPoint - Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
• JonathonLuiten/TrackEval - HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
• dyhBUPT/StrongSORT - [TMM 2023] StrongSORT: Make DeepSORT Great Again
• mrqrs/CG-SSD -
• coneypo/Dlib_face_recognition_from_camera - Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别
• philip-huang/PIXOR - PyTorch Implementation of PIXOR
• DerrickXuNu/OpenCOOD - [ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
• ShiQiu0419/attentions_in_3D_detection - Investigating Attention Mechanism in 3D Point Cloud Object Detection (3DV 2021)
• NVIDIA-AI-IOT/face-mask-detection - Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19
• arpit6232/Cuda_Accelerated_LidarNet - A rewrite verson of Lidar detection deeplearning framework (PointPillars) for multi device fast applications ((pc train and vehicle inference)).
• NVIDIA-AI-IOT/CUDA-PointPillars - A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
• hova88/OpenPCDet - OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
• azureology/kitti-velo2cam - lidar to camera projection of KITTI
• jax-ml/jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
• tusen-ai/SimpleTrack -
• Xharlie/BtcDet - Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
• mikecheninoulu/CGT - Code for Contrastive-Geometry Networks for Generalized 3D Pose Transfer
• blakechen97/SASA - SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
• zhyever/SimIPU - [AAAI 2021] Official Implementation of "SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations"
• Na-Z/SDCoT - [AAAI 2022 Oral] Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
• wangyuan123ac/3DFA-GCN -
• kaiyizhang/AXform - Attention-based Transformation from Latent Features to Point Clouds (AAAI 2022)
• astra-vision/LMSCNet - LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020
• qcraftai/simtrack - Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
• kevindean/YDLidarSLAM - plan on utilizing openIMU300RI and YDLidar G2 to perform SLAM operations... this is the beginning
• RobotLocomotion/director - A robotics interface and visualization framework, with extensive applications for working with http://drake.mit.edu
• Chenguoz/PointSCNet - Code Release of PointSCNet: Point Cloud Structure and Correlation Learning based on Space Filling Curve guided Sampling
• Adonis-galaxy/DSPoint - Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"
• crane-papercode/3DMedPT - Project page: https://3dmedpt.github.io/
• HuangJunJie2017/BEVDet - Code base of the BEVDet series .
• ZrrSkywalker/MonoDETR - [ICCV 2023] The first DETR model for monocular 3D object detection with depth-guided transformer
• Rock-100/MonoDet - [ICCV21 & WACV23] Monocular 3D Object Detection for Automonous Driving
• VimsLab/MeshNet2 -
• luxius-luminus/PolyConv - Object Point Cloud Classification via Poly-Convolutional Architecture Search
• tusen-ai/SST - Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
• LitingLin/SwinTrack -
• HCPLab-SYSU/CD-FER-Benchmark - A Unified Evaluation Benchmark for Cross-Domain Facial Expression Recognition (TPAMI'22, ACM MM'20)
• subbarayudu-j/TheAlgorithms-Python - TheAlgorithms/Python
• ZrrSkywalker/PointCLIP - [CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP
• fpthink/V2B -
• tianweiy/MVP -
• NEU-REAL/LTTR - [BMVC'21] 3D Object Tracking with Transformer
• Kemo-Huang/JMODT - Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving
• guangyaooo/JointRCNN -
• NVIDIA-AI-IOT/torch2trt - An easy to use PyTorch to TensorRT converter
• Julie-tang00/Point-BERT - [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
• rayguan97/M3DETR - Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
• PaddlePaddle/PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
• once-for-auto-driving/once_devkit -
• AutoVision-cloud/Deformable-PV-RCNN - [ECCVW-2020] Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
• tianweiy/CenterPoint-KITTI -
• paul007pl/VRCNet - [CVPR 2021 Oral] Variational Relational Point Completion Network
• qiqihaer/3DSSD-pytorch-openPCDet - The successful implementation of 3DSSD in Pytorch
• open-mmlab/mmflow - OpenMMLab optical flow toolbox and benchmark
• LunjunZhang/lidar-ssl -
• indra4837/second_ros - SECOND ROS node
• Uuuuuuho/Pillar_on_SoC -
• muzi2045/second_TANET.pytorch -
• HosseinSheikhi/mmdetection3d_ros - A ROS2 package as a wrapper for mmdetection3d
• aim-uofa/DyCo3D -
• iFe1er/SMU_pytorch - A Pytorch implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
• facebookresearch/ppuda - Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
• myavartanoo/PolyNet_PyTorch - Official implementation of the paper "PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation" (3DV 2021)
• canonical-capsules/canonical-capsules - Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)
• PaddlePaddle/PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle
• ifzhang/ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
• OutBreak-hui/Yolov5-PP-LCNet -
• PRBonn/LiDAR-MOS - (LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
• LONG-9621/SO-Net - 是SO-Net论文的复现代码
• LONG-9621/3D-Point-Capsule-Networks -
• iMoonLab/PVRNet - PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)
• lxh829/PointCloud-recognition - Use your own model to recognition
• qinglew/FoldingNet - This is the implementation for FoldingNet——an autoencoder for point cloud in PyTorch.
• townim-faisal/lwf-3D - [IWANN 2021] Reducing catastrophic forgetting in 3D point cloud objects with help of semantic information
• SamsungLabs/cloud_transformers - [ICCV, 2021] Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks https://arxiv.org/abs/2007.11679
• WangYueFt/detr3d -
• tomas789/kitti2bag - Convert KITTI dataset to ROS bag file the easy way!
• utiasSTARS/pykitti - Python tools for working with KITTI data.
• zhixinwang/frustum-convnet - The PyTorch Implementation of F-ConvNet for 3D Object Detection
• liangzhao123/IOU-SSD - IOU based single stage detector
• AlexeyAB/ScaledYOLOv4 - Pytorch - Scaled-YOLOv4: Scaling Cross Stage Partial Network
• hoya012/deep_learning_object_detection - A paper list of object detection using deep learning.
• princeton-computational-imaging/SeeingThroughFog -
• mileyan/Algorithm_Interview_Notes-Chinese - 2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
• brian-h-wang/ldls_ros - ROS code for LDLS (Label Diffusion Lidar Segmentation)
• mileyan/pseudo-LiDAR_e2e - pseudo-LiDAR_e2e
• cxy1997/3D_adapt_auto_driving - Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
• AndyYuan96/HVNet -
• TRAILab/CaDDN - Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
• zhangxiaosong18/FreeAnchor - FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
• SamsungLabs/imvoxelnet - [WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
• ispc-lab/HRegNet - [ICCV 2021] HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
• bernwang/latte - LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking
• hasanari/sane - SAnE: Smart annotation and evaluation tool for point cloud data
• gyubeomim/voxelnet_ros - qianguih' voxelnet version with ROS Implementation code
• Media-Smart/vedacls - A classification toolbox based on PyTorch
• AbangLZU/VoxelNetRos - implement the VoxelNet with ROS, using Kitti data to test
• AbangLZU/SqueezeSeg_Ros - This is a ros package that implement the SqueezeSeg
• facebookresearch/3detr - Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
• CarkusL/CenterPoint - Export CenterPoint PonintPillars ONNX Model For TensorRT
• Liz66666/SIENet - [PR 2022] SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
• hlsheng1/CT3D - "Improving 3D Object Detection with Channel-wise Transformer", ICCV2021 accept!
• happinesslz/TANet - The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"
• jialeli1/From-Voxel-to-Point - "From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder" and "Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud" in ACM MM 2021.
• felixchenfy/ros_openpose_rgbd - Visualize 3d humans' skeletons(body+hands) in ros rviz. The 2d joints are detected by openpose; The depth is from depth image.
• felixchenfy/ros_3d_pointing_detection - Which object a person is pointing at? Detect it by using YOLO, Openpose and depth image (under customized scene).
• cedricxie/second_ros - Run SECOND Detector as a ROS Node with KITTI Dataset
• liu-qingzhen/Pointpillars-ROS - Pointpillars with ROS Rviz
• ros/catkin - A CMake-based build system that is used to build all packages in ROS.
• shenqildr/RTIT - A Rigid Transformation Invariant Network for Point Clouds Recognition
• chenfengxu714/YOGO - Official implementation of YOGO for point-cloud processing
• djiajunustc/H-23D_R-CNN -
• CVMI-Lab/ST3D - (CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
• lijx10/MINE - Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"
• BlackHC/tfpyth - Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
• skyhehe123/SA-SSD - SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
• STVIR/pysot - SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
• ZQPei/deep_sort_pytorch - MOT using deepsort and yolov3 with pytorch
• open-mmlab/mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
• TUMFTM/RadarVoxelFusionNet -
• nwojke/deep_sort - Simple Online Realtime Tracking with a Deep Association Metric
• tolgabirdal/qecnetworks - Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"
• megvii-research/MOTR - [ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer
• Divadi/detection-toolbox -
• PointsCoder/ONCE_Benchmark - One Million Scenes for Autonomous Driving
• PointsCoder/Pyramid-RCNN - Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
• PointsCoder/VOTR - Voxel Transformer for 3D object detection
• DELTA37/TVN - Tiny Video Networks
• cabraile/ModelNet40Fixer - ModelNet40 dataset has errors on it's 'off' files. This repo's application fixes the whole dataset.
• yuxumin/PoinTr - [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
• hpc203/yolo-fastestv2-opencv - 使用OpenCV部署Yolo-FastestV2，包含C++和Python两种版本的程序
• hpc203/yolov5-face-landmarks-opencv-v2 - 更新的yolov5检测人脸和关键点，只依赖opencv库就可以运行，程序包含C++和Python两个版本的
• hpc203/yolov5-face-landmarks-opencv - yolov5检测人脸和关键点，只依赖opencv库就可以运行，程序包含C++和Python两个版本的
• hpc203/FaceMaskDetection-dnn - 用opencv的dnn模块实现人脸口罩检测，包含C++和Python两种版本的实现
• hpc203/yoloface-landmark106 - 纯YOLO系列的人脸检测+106个关键点检测
• hpc203/10kinds-light-face-detector-align-recognition - 10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸特征向量提取和计算距离相似度
• hpc203/YOLOP-opencv-dnn - 使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。
• hustvl/YOLOP - You Only Look Once for Panopitic Driving Perception.（MIR2022）
• IGLICT/MeshVAE_neural_editing -
• alitabet/morton-net - PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic
• rubenwiersma/hsn - Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
• nmwsharp/learned-triangulation - Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020
• OmidPoursaeed/Self_supervised_Learning_Point_Clouds - Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)
• Weikun-Wu/Sk-Net-master -
• lzccccc/SMOKE - SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
• mumianyuxin/M3DSSD - M3DSSD: Monocular 3D Single Stage Object Detector
• ajhamdi/MVTN - pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"
• aRI0U/RandLA-Net-pytorch - PyTorch implementation of RandLA-Net
• dkoguciuk/mesh2pointcloud - A mini scripts to sample ModelNet40 or ShapeNetCore55v2 meshes into 3D point clouds
• usherbob/GDS - Code for Global Description Guided Down-Sampling for 3D Point Cloud Classification
• sumeshthakr/PointCloudSampling - Python Scripts performing uniform and poisson sampling on pointcloud scans
• Gaozhongpai/PaiConvPoint - Official repository for the paper "PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds" [Classification for uniformly sampled data]
• LyapunovShao/pointSIFT -
• yanx27/PointCapsNet -
• AmrElsersy/PointPainting - Real Time Semantic Segmentation for both LIDAR & Camera using BiseNetv2 & PointPainting Fusion in Pytorch
• Song-Jingyu/PointPainting - This repository is an open-source PointPainting package which is easy to understand, deploy and run!
• hailanyi/3D-Detection-Tracking-Viewer - 3D detection and tracking viewer (visualization) for kitti & waymo dataset
• blzq/tf_rodrigues - TensorFlow implementation of Rodrigues rotation conversion from axis-angle (rotation vector) to rotation matrix which supports batch inputs
• Banconxuan/RTS3D - RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving
• simon3dv/frustum_pointnets_pytorch - A pytorch version of frustum-pointnets
• mikel-brostrom/boxmot - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
• atyshka/Lasernet - Implementing Uber's Lasernet LIDAR detector in Tensorflow 2.0
• kareemalsawah/Modified_LaserNet_Pytorch - This is an implementation of the LaserNet paper, a CNN for Lidar 3D object detection
• MartinHahner/SeeingThroughFog -
• BoguslawObara/surface_curvature3d -
• jpanikulam/python_pointclouds - Python Point Clouds
• kalemaria/pycurv - Reliable estimation of membrane curvature for cryo-electron tomography
• errollw/EyeTab -
• momoComeOn/BU3DFE -
• brain-slam/slam - Surface anaLysis And Modeling
• pleaseconnectwifi/PNAL - Learning with Noisy Labels for Robust Point Cloud Segmentation (ICCV2021 Oral)
• shanjiayao/PTT - Official PyTorch Implementation for "PTT: Point-Track-Transformer Module for 3D Single Object Trackingin Point Clouds"
• SergioRAgostinho/just-a-spoonful - Official repository for the ICCV 2021 (Oral) paper "(Just) A Spoonful of Refinements Helps the Registration Error Go Down"
• ds0529/RTN - The code of Rotation Transformation Network
• weixmath/CVR -
• hustvl/HAIS - Hierarchical Aggregation for 3D Instance Segmentation (ICCV 2021)
• chenchao15/2D_projection_matching -
• MartinHahner/LiDAR_fog_sim - LiDAR fog simulation
• Runsong123/AdaFit - Code Release for ICCV 2021 (oral), "AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds"
• ShiQiu0419/pnp-3d - PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)
• Tai-Hsien/MeshSegNet - PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization; this project is partially powered by SOVE Inc.
• cheind/py-motmetrics - 📊 Benchmark multiple object trackers (MOT) in Python
• TRI-ML/permatrack - Implementation for Learning to Track with Object Permanence
• eddyhkchiu/mahalanobis_3d_multi_object_tracking - [NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Work
• SysCV/qdtrack - Quasi-Dense Similarity Learning for Multiple Object Tracking, CVPR 2021 (Oral)
• StanfordVL/JRMOT_ROS - Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
• xinshuoweng/AB3DMOT - (IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
• ucbdrive/3d-vehicle-tracking - Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
• MedChaabane/DEFT - Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object det
• aleksandrkim61/EagerMOT - Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]
• alextrevithick/GRF - 🔥 General Radiance Field (ICCV, 2021)
• AndyYuan96/End-to-End-Multi-View-Fusion-for-3D-Object-Detection-in-LiDAR-Point-Clouds -
• ispc-lab/PointINet - Source code of our paper: PointINet: Point Cloud Frame Interpolation Network
• Gaozhongpai/LSAConvMesh - Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
• luost26/score-denoise - ❄️ Score-Based Point Cloud Denoising (ICCV 2021)
• SuperMHP/GUPNet -
• datamllab/autovideo - AutoVideo: An Automated Video Action Recognition System
• ChengChen2020/mvtn - A PyTorch implementation of "Multi-View Transformation Network for 3D Shape Recognition".
• ada-shen/REQNN - 3D-Rotation-Equivariant Quaternion Neural Networks
• XuyangBai/PPF-FoldNet - PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322
• mikacuy/pointnetvlad - PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
• cvlab-yonsei/HVPR - An official implementation of "HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection" (CVPR 2021) in PyTorch.
• ZhengZerong/DeepImplicitTemplates - Implementation of "Deep Implicit Templates for 3D Shape Representation"
• mikacuy/joint_learning_retrieval_deformation - Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021
• LongLong-Jing/Cross-Modal-Center-Loss - Cross-Modal Center Loss for 3D Cross-Modal Retrieval (CVPR2021)
• vinits5/learning3d - This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
• Jittor/jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
• Vladimir2506/Pointformer - Repository of 3D Object Detection with Pointformer (CVPR2021)
• traveller59/spconv - Spatial Sparse Convolution Library
• xiangz201/BoW_Pooling - BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds (AAAI2021)
• hova88/pointcloud-notes - 一些点云处理笔记
• hova88/Lidardet - A rewrite verson of Lidar detection deeplearning framework (PointPillars) for multi device fast applications ((pc train and vehicle inference)).
• Ghostish/Open3DSOT - Open source library for Single Object Tracking in point clouds.
• enthought/mayavi - 3D visualization of scientific data in Python
• open-mmlab/mmdetection - OpenMMLab Detection Toolbox and Benchmark
• xingyizhou/CenterNet - Object detection, 3D detection, and pose estimation using center point detection:
• xingyizhou/CenterTrack - Simultaneous object detection and tracking using center points.
• OneForward/ResMHGNN - Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).
• zeliu98/Group-Free-3D - Group-Free 3D Object Detection via Transformers
• AbangLZU/EasyPointPillars - easy and simple way to train, export and deploy pointpillars for 3D detection
• mileyan/Pseudo_Lidar_V2 - (ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
• guochengqian/KPConv-PyTorch-DeepGCN - Kernel Point Convolution implemented in PyTorch
• guochengqian/PU-GCN - [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
• djiajunustc/Voxel-R-CNN -
• Vegeta2020/CIA-SSD - CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.
• diviswen/Point2SpatialCapsule - The source code for Point2SpatialCapsule : Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
• liuxinhai/L2G-AE - L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention
• richieBao/python-urbanPlanning - Urban Spatial Data Analysis Method--Python Implementation /代码为caDesign（cadesign.cn）设计研究中“python知识系统部分”即"城市空间数据分析方法——PYTHON语言实现"。
• edwardzhou130/Panoptic-PolarNet - Implementation for Panoptic-PolarNet (CVPR 2021)
• tianweiy/CenterPoint -
• princeton-vl/SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
• IGLICT/PRS-NET-Jittor -
• Blue-Giant/MRFGAT_NET -
• fei960922/GPointNet - Official pytorch implementation for the paper "Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification"
• sailor-z/LGR-Net -
• junming259/PointSetVoting - Source code of "Point Set Voting for Partial Point Clouds Analysis"
• ali-chr/Transductive_ZSL_3D_Point_Cloud - Implementation of "Transductive Zero-Shot Learning for 3D Point Cloud Classification"
• Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects - New distributional and shape attacks on neural networks that process 3D point cloud data.
• chenfengxu714/image2point - Official implementation of Image2Point.
• wangguojun2018/CenterNet3d - CenterNet3D An Anchor free Object Detector for Autonomous Driving
• Owen-Liuyuxuan/visualDet3D - Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
• maudzung/Complex-YOLOv4-Pytorch - The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
• XLearning-SCU/2021-CVPR-MvCLN - PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
• fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature - This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Ima
• ArchipLab-LinfengZhang/Task-Oriented-Feature-Distillation - This is the implementaion of paper "Task-Oriented Feature Distillation"
• liuxinhai/FG3D-Net - Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
• Yi-Shi94/Unsupervised-Deep-Shape-Descriptor-with-Point-Distribution-Learning - Unsupervised Deep Shape Descriptor with Point Distribution Learning
• maxjiang93/DDSL - DDSL: Deep Differential Simplex Layer for Neural Networks
• nitinagarwal/QuadricLoss - Learning Embedding of 3D models with Quadric Loss
• cscvlab/InSphereNet - InSphereNet: A Concise Representation and Classification Method for 3D Object
• lzhengning/SubdivNet - Subdivision-based Mesh Convolutional Networks.
• tiangexiang/CurveNet - [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
• ericyi/articulated-part-induction -
• xinge008/SSN - SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds (ECCV2020)
• mit-han-lab/spvnas - [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
• Gorilla-Lab-SCUT/frustum-convnet - The PyTorch Implementation of F-ConvNet for 3D Object Detection
• nintendops/EPN_PointCloud - PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
• ZitongYu/CDCN - Central Difference Convolutional Networks (CVPR'20)
• luohao123/autonomous_class_code_ruimuke -
• daniilidis-group/polar-transformer-networks - Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.
• Gorilla-Lab-SCUT/AffordanceNet -
• DC1991/FS_Net - the code for CVPR2021 work: FS-Net
• DC1991/G2L_Net -
• hehefan/P4Transformer - Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.
• xieenze/PolarMask - Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'
• MenghaoGuo/EANet - External Attention Network
• hjjpku/multi_view_sort - multi-view cnn, Neural-EM, multi view alignment
• autonomousvision/transfuser - [PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
• Spark001/AsymmNet - [MAI@CVPR 2021] AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks.
• Arthur151/SOTA-on-monocular-3D-pose-and-shape-estimation - State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
• MMCheng/SSPC-Net - Semi-supervised Seam
• Vegeta2020/SE-SSD - SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
• CVMI-Lab/PAConv - (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
• ShiQiu0419/GBNet - Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)
• isaaccorley/simpleview-pytorch - PyTorch implementation of SimpleView from "Revisiting Point Cloud Classification with a Simple and Effective Baseline", Goyal et al. (2020)
• layumi/person-reid-3d - TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽
• moeinp70/Point-Planenet - Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
• lucidrains/perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
• dogyoonlee/RSMix - [CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples
• pyni/PointNet2_Grasping_Data_Part - The dataset of our paper for ICRA 2020
• feihuzhang/LiDARSeg -
• PRBonn/lidar-bonnetal - Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
• isl-org/Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks
• marmakoide/mesh-blue-noise-sampling - A short implementation of blue noise sampling for triangle meshes
• HuangCongQing/RandLA-Net-Enhanced - RandLA-Net改进版
• LinyeLi60/apollo-point-cloud-generation - 使用Apoll数据集中的3D模型生成点云
• stevenwudi/Kaggle_PKU_Baidu - Kaggle_PKU_Baidu
• LinyeLi60/sample_points_on_sphere - sample points uniformly on a sphere by dividing an icosahedron(the largest convex regular polyhedron)
• Reitmania/GUIbrushDeepwood - GUI for Time Series Prediction with Machine Learning (MLP, RNN, LSTM, ...)
• facebookresearch/DeepSDF - Learning Continuous Signed Distance Functions for Shape Representation
• zekunhao1995/DualSDF - DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20
• zekunhao1995/PointFlowRenderer - Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"
• antao97/PointCloudDatasets - 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
• Reitmania/MeshSampling - Mesh Sampling with pyntcloud, VTK and open3D
• voidstrike/TDPNet - Pytorch implementation of "Single View Point Cloud Generation via Unified 3D Prototype" (AAAI 2021)
• SamGhK/MonoGRNet_python36 -
• Zengyi-Qin/MonoGRNet - MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Detection and Localization | KITTI
• SysCV/qd-3dt - Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022
• X-zhangyang/Real-World-Masked-Face-Dataset - Real-World Masked Face Dataset，口罩人脸数据集
• markstrefford/running-detectron2-on-windows-wsl2-rtx30xx - How to run Detectron2 on Windows using WSL2 and RTX30xx cards.
• open-mmlab/mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
• lujiaxuan0520/crowd-counting-gui-pyqt - A crowd counting GUI system developed by pyqt4 which combines 3 models including YOLO, RetinaNet and MCNN.
• yhenon/pytorch-retinanet - Pytorch implementation of RetinaNet object detection.
• lujiaxuan0520/PointCNN-self-driving-cars - 本项目为2018年山东大学第四届“可视计算”暑期学校无人车小组的DIY项目，参考山东大学提出的基于点云的PointCNN点卷积神经网络，使用KITTI数据集对车辆的点云输入进行语义分割，并就划分出的车辆图像进行三维包装盒的预测，以帮助无人车定位车辆的三维位置。
• timomernick/pytorch-capsule - Pytorch implementation of Hinton's Dynamic Routing Between Capsules
• valeoai/FKAConv -
• valeoai/LightConvPoint -
• EnyaHermite/PicassoPlus - Geometric deep learning for surface parsing from 3-D triangular meshes
• panmari/stanford-shapenet-renderer - Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.
• tusen-ai/simpledet - A Simple and Versatile Framework for Object Detection and Instance Recognition
• tusen-ai/LiDAR_RCNN - LiDAR R-CNN: An Efficient and Universal 3D Object Detector
• ErlerPhilipp/points2surf - Learning Implicit Surfaces from Point Clouds (ECCV 2020)
• mvandermerwe/PointSDF - A point cloud based, implicit surface reconstruction learning architecture.
• laughtervv/DISN - DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
• jiawenquan/pdalOctreeSplitPointCloud - The point cloud is split using the ‘pdal’ ‘octree’
• Haoran-001/Point_image - 1st paper base codes
• justachetan/DiffGeoOps - Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
• lorenmt/vsl - The implementation of "Learning a Hierarchical Latent-Variable Model of 3D Shapes" [3DV 2018].
• minzhang-1/PointHop-PointHop2_Spark - A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
• minzhang-1/PointHop - PointHop: An Explainable Machine Learning Method for Point Cloud Classification
• AlonLahav/MeshWalker - MeshWalker implementation
• minzhang-1/PointHop2 - PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
• qq456cvb/SPRIN - PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
• Ailce8862/PointFusionNet - The repository is used to store PointFusionNet code
• qq456cvb/Point-Transformers - Point Transformers
• Strawberry-Eat-Mango/PCT_Pytorch - Pytorch implementation of PCT: Point Cloud Transformer
• mutianxu/GDANet - Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
• umvarma/pynastran - Automatically exported from code.google.com/p/pynastran
• gxdai/sketchShape -
• zlin7/CGNet -
• Image-Py/sknw - build net work from skeleton image (2D-3D)
• AlexDuperre/PCRN -
• mariogeiger/se3cnn - Euclidean Neural Networks
• hkust-vgd/shrec17 - Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track
• pisalore/pointnet_shrec17-classificator - Experiments on pointnet capability to detect and recognize geometric patterns
• francisengelmann/PyViz3D - PyViz3D is a web-based visualizer for 3D objects and point clouds.
• RBirkeland/RotationNet -
• MegaYEye/Triangle-Net - (paper code) Triangle-Net: Towards Robustness in Point Cloud Learning
• mrnabati/CenterFusion - CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
• QingyongHu/SpinNet - [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
• DingXiaoH/RepVGG - RepVGG: Making VGG-style ConvNets Great Again
• honeyhaoyan/Grid_GCN -
• honeyhaoyan/python_version_Grid_GCN - This is a python version Grid_GCN model
• Jittor/PointCloudLib - Jittor Library for Point Cloud Processing
• AutoVision-cloud/SA-Det3D - [ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
• cuge1995/PointCutMix - our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
• lucidrains/point-transformer-pytorch - Implementation of the Point Transformer layer, in Pytorch
• zhihao-lin/3dgcn - Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
• yucornetto/CAKES - This repository contains the code for our AAAI2021 paper CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks.
• nightsnack/YOLObile - This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
• XingangPan/GAN2Shape - Code for GAN2Shape (ICLR2021 oral)
• jac99/MinkLoc3D - MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
• PeizeSun/SparseR-CNN - [CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
• AutodeskAILab/RobustPointSet -
• MenghaoGuo/PCT - Jittor implementation of PCT:Point Cloud Transformer
• maudzung/SFA3D - Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
• kornia/kornia - Geometric Computer Vision Library for Spatial AI
• yitu-opensource/MobileNeXt -
• yunlu-chen/PointMixup - Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
• frobelbest/BANet - Source Code for the Paper BA-Net: Dense Bundle Adjustment