zhanghang1989/PyTorch-Encoding

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Collection of common code that's shared among different research projects in FAIR computer vision team.

CVNets: A library for training computer vision networks

Datasets, Transforms and Models specific to Computer Vision

Scenic: A Jax Library for Computer Vision Research and Beyond

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

OpenMMLab Computer Vision Foundation

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377