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timm (PyTorch Image Models) is a premier library hosting a vast collection of state-of-the-art image classification models and backbones such as ResNet, EfficientNet, NFNet, Vision Transformer, ConvNeXt, and more. Created by Ross Wightman and now maintained by Hugging Face, it includes pretrained weights, data loaders, augmentations, optimizers, schedulers, and reference scripts for training, evaluation, inference, and model export. It's an essential toolkit for vision research and production workflows.
Features
- Wide variety of modern image model architectures
- Pretrained weights for fast transfer learning
- Utilities: dataloaders, augmentations, optimizers, schedulers
- Scripts for train, eval, inference, and model export
- Support for GPU/CPU execution and export formats
- Apache‑2.0 license and active development
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