pytorch-image-models
https://github.com/huggingface/pytorch-image-models
Python
PyTorch image models, scripts, 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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- Issues
- Updating augmentations, esp randaug to support full torch.Tensor pipeline
- [FEATURE] add t2t_vit
- [FEATURE] Support for RWKV and MAMBA architecture
- [FEATURE] Can timm do multi-label image classification?
- [RFC] Faster load time for large models
- [FEATURE] Load model config AND weights from local folder (support locally cloned HF hub models)
- OmniVec:Learning robust representations with cross modal sharing
- [BUG] inference.py expects labeled subfolders in the --data-dir folder
- Use args.class_map for labels in inference.py
- Experimenting with differential attention
- Docs
- Python not yet supported