Strong and Open Vision Language Assistant for Mobile Devices

LaTeX templates I created for authoring research papers

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

A list of Medical imaging datasets.

Official MICCAI-2022 submission repository

Code to train CLIP model

Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

A collection of resources and papers on Diffusion Models

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

GLIDE: a diffusion-based text-conditional image synthesis model

High-Resolution Image Synthesis with Latent Diffusion Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

DALL·E Mini - Generate images from a text prompt

Official implementation of VQ-Diffusion

Taming Transformers for High-Resolution Image Synthesis

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A large scale Sanskrit-English translation dataset

Multimodal Graph Network (MGN): Code repo, examples from the paper

An open source implementation of CLIP.

📝Awesome and classical image retrieval papers

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.