- 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
- 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
- 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
- A Comprehensive Guide to the Python Timm Library for Computer Vision
Timm, which stands for "PyTorch Image Models", is a library consisting of a collection of image models, layers, utilities, optimizers, schedulers, data-loaders and transforms, all compatible with the PyTorch deep learning framework
- Getting Started with PyTorch Image Models (timm): a practitioners . . .
The purpose of this guide is to explore timm from a practitioner’s point of view, focusing on how to use some of the features and components included in timm in custom training scripts
- 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
- How to train your own models using timm? | timmdocs - fast
In this tutorial we will be only be looking at the above 7 features and look at how you could utilize timm to use these features for your own experiments on a custom dataset
- Documentation for Ross Wightmans timm image model library
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
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