Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.

🎯 Task-oriented embedding tuning for BERT, CLIP, etc.

Simple implementation of OpenAI CLIP model in PyTorch.

Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

Sort a folder of images according to their similarity with provided text in your browser (uses a browser-ported version of OpenAI's CLIP model and the web's new File System Access API)

KoCLIP: Korean port of OpenAI CLIP, in Flax

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

CLIPfa: Connecting Farsi Text and Images

CLIP as a service - Embed image and sentences, object recognition, visual reasoning, image classification and reverse image search

code for studying OpenAI's CLIP explainability

CLIP-MoE: Mixture of Experts for CLIP

Run CLIP inference on the ImageNet dataset and use these inferences as labels to train other models and again evaluate the trained model on Imagenet validation dataset using original labels or CLIP labels

A dead-simple image search and image-text matching system for Bangla using CLIP

Text to Image & Reverse Image Search Engine built upon Vector Similarity Search utilizing CLIP VL-Transformer for Semantic Embeddings & Qdrant as the Vector-Store

CLIP (Contrastive Language–Image Pre-training) for Bangla.

An experiment with movie scenes and contrastive learning