open-mmlab/mmpretrain

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

Scenic: A Jax Library for Computer Vision Research and Beyond

ModelScope: bring the notion of Model-as-a-Service to life.

PyTorch code and models for the DINOv2 self-supervised learning method.

LAVIS - A One-stop Library for Language-Vision Intelligence

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

Datasets, Transforms and Models specific to Computer Vision