GitHub / huggingface / pytorch-image-models

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

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Commit Stats

Commits: 1564
Authors: 102
Mean commits per author: 15.33
Development Distribution Score: 0.228
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/huggingface/pytorch-image-models

Topics: augmix, convnext, distributed-training, dual-path-networks, efficientnet, image-classification, imagenet, maxvit, mixnet, mobile-deep-learning, mobilenet-v2, mobilenetv3, nfnets, normalization-free-training, pretrained-models, pretrained-weights, pytorch, randaugment, resnet, vision-transformer-models

Funding links: https://github.com/sponsors/rwightman

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