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
- Add GmNet
- Task and configuration refactoring w/ support for SSL tasks (working on LeJEPA, NEPA initially)
- [FEATURE] Adding Agglomerative Vision Foundation Model such as RADIO
- feat(train): add validation metrics and distributed support
- [FEATURE] Support for Sapiens
- [FEATURE] Add DeepSpeed / ZeRO support in training script
- [FEATURE] Support for DPT decoder
- [FEATURE] [RFC] Support for interchangable attention backends
- Vibe coding some different ideas on vit param sharing/recursion/latents
- [FEATURE] Unified `embed` Interfaces for Vision Transformer Models for MIM Pretrain Research
- Docs
- Python not yet supported