🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.

OpenMMLab Computer Vision Foundation

scikit-learn: machine learning in Python

A collection of design patterns/idioms in Python

Advanced Python Mastery (course by @dabeaz)

The open-source tool for building high-quality datasets and computer vision models

Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables

Datasets, Transforms and Models specific to Computer Vision

If you are forking please do not forget to star the repo

Contrastive Language-Image Pretraining

Scrape Algorithm Questions from leetcode and generate html and epub file

Code repository for "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting".

D2Go is a toolkit for efficient deep learning

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥

PyTorch implementation of realNVP

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

Mish Activation Function for PyTorch

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

Horus Media Server client library

A fork of Detectron2 with ResNeSt backbone

A Python generator for the Twitter Snowflake scheme