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huggingface pytorch-image-models - GitHub Py T orch Im age M odels (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 (PyTorch Image Models) - Hugging Face Py T orch Im age M odels (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
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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
timm · PyPI Py T orch Im age M odels (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 Read the quick start guide to get up and running with the timm library You will learn how to load, discover, and use pretrained models included in the library
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GitHub - pprp timm: PyTorch image models, scripts, pretrained weights . . . Py T orch Im age M odels (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
Using timm at Hugging Face timm, also known as pytorch-image-models, is an open-source collection of state-of-the-art PyTorch image models, pretrained weights, and utility scripts for training, inference, and validation