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huggingface pytorch-image-models - GitHub PyTorch Image Models (timm) is a collection of image models, layers, utilities, optimizers, schedulers, data-loaders augmentations, and reference training validation scripts that aim to pull together a wide variety of SOTA models with ability to reproduce ImageNet training results
timm · PyPI Getting Started with PyTorch Image Models (timm): A Practitioner’s Guide by Chris Hughes is an extensive blog post covering many aspects of timm in detail timmdocs is an alternate set of documentation for timm
Pytorch Image Models (timm) | timmdocs `timm` is a deep-learning library created by Ross Wightman and is a collection of SOTA computer vision models, layers, utilities, optimizers, schedulers, data-loaders, augmentations and also training validating scripts with ability to reproduce ImageNet training results
PyTorch Image Models - Papers With Code PyTorch Image Models (TIMM) is a library for state-of-the-art image classification With this library you can: Choose from 300+ pre-trained state-of-the-art image classification models Train models afresh on research datasets such as ImageNet using provided scripts
GitHub - pprp timm: PyTorch image models, scripts, pretrained weights . . . PyTorch Image Models (timm) is a collection of image models, layers, utilities, optimizers, schedulers, data-loaders augmentations, and reference training validation scripts that aim to pull together a wide variety of SOTA models with ability to reproduce ImageNet training results
timm - Hugging Face timm is a library containing SOTA computer vision models, layers, utilities, optimizers, schedulers, data-loaders, augmentations, and training evaluation scripts It comes packaged with >700 pretrained models, and is designed to be flexible and easy to use