[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

Attention Branch Network demonstration

tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.

Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification

Simple classification script that uses VGG16. Learned on image-net

CNN Implementation and optimization in comparison to Image-Net Pre-trained on CIFAR-10 Dataset Image Classification

This repository contains code for an image classification project that focuses on classifying 70 different dog breeds. The project was developed as a final project for Deep Learning school, aiming to demonstrate the application of deep learning techniques for multi-class classification tasks.

Forecasting with time series imaging

In this project, we aimed to develop a deep learning model for accurately classifying X-ray images as either pneumonia or COVID cases. The objective was to compare accuracy of different types of CNN, where we used two: DenseNet and MobileNetV2 and acheived an accuracy of something close to 54.5% and later using feature scaling it came close to 85%.