LuoweiZhou

tesseract

Tesseract Open Source OCR Engine (main repository)

DALL-E

PyTorch package for the discrete VAE used for DALL·E.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

pytorchvideo

A deep learning library for video understanding research.

PySceneDetect

:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

decord

An efficient video loader for deep learning with smart shuffling that's super easy to digest

fastmoe

A fast MoE impl for PyTorch

Video-Swin-Transformer

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

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

OWOD

(CVPR 2021 Oral) Open World Object Detection

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

kinetics-dataset

xcit

Official code Cross-Covariance Image Transformer (XCiT)

ml-contests-conf

ML and DL related contests, competitions and conference challenges.

CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

convit

Code for the Convolutional Vision Transformer (ConViT)

VL-T5

PyTorch code for "Unifying Vision-and-Language Tasks via Text Generation" (ICML 2021)

conceptual-12m

Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

simple-amt

A microframework for working with Amazon's Mechanical Turk

universal-computation

Official codebase for Pretrained Transformers as Universal Computation Engines.

halonet-pytorch

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

Awesome-Zero-Shot-Object-Detection

StarterCode

Starter Code for VALUE benchmark

vimpac

vince

Video Noise Contrastive Estimation

UC2

CVPR 2021 Official Pytorch Code for UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

DataRelease

Data Release for VALUE Benchmark

EvaluationTools

Evaluation code and codalab submission examples for the VALUE benchmark.