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a-vit

Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)

ask-anything

[VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

cafo

[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

chal_slr

This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

data_processing_parallel

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffusion

Denoising Diffusion Probabilistic Models

ganzobtn.github.io

internvideo

InternVideo: General Video Foundation Models via Generative and Discriminative Learning (https://arxiv.org/abs/2212.03191)

jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

linefollower

llama

Inference code for LLaMA models

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pytorch_distributed

roadr2023

robot_navigation_deep_rl_gazebo

signlanguageretrieval

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

ss_vision_transformer

Official repository for "Self-Supervised Video Transformer" (CVPR'22)

tiny_codes

tinychatengine

TinyChatEngine: On-Device LLM Inference Library

video-swin-transformer

This is an official implementation for "Video Swin Transformers".

video_data_preprocess

videomamba

VideoMamba: State Space Model for Efficient Video Understanding

wlasl

WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors