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
- [FEATURE] timm.models.adapt_input_conv: beyond RGB weights
- swin v2 adding padding to shifted window attention breaks the algorithm
- [FEATURE] Gradient checkpointing in `forward_intermediates()`
- Add T2T_ViT
- [FEATURE] Refactor ReadMe
- [RFC] Faster load time for large models
- [BUG] inference.py expects labeled subfolders in the --data-dir folder
- Use args.class_map for labels in inference.py
- Warmup on uneven last-batch-size in `validate.py`
- [FEATURE] Add ViT weights: RADIO
- Docs
- Python not yet supported