PyTorch Image Models (timm)
PyTorch 图像模型(timm)是一个图像模型、层、实用工具、优化器、调度器、数据加载器/增强器和参考训练/验证脚本的集合,旨在将各种具有重现 ImageNet 训练结果能力的 SOTA 模型集合起来。「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.」
Main metrics
Overview
Name With Owner | huggingface/pytorch-image-models |
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Primary Language | Python |
Program language | Python (Language Count: 3) |
Platform | Linux, Mac, Windows |
License: | Apache License 2.0 |
Release Count | 65 |
Last Release Name | v1.0.15 (Posted on ) |
First Release Name | v0.1-weights (Posted on ) |
Created At | 2019-02-02 05:51:12 |
Pushed At | 2025-04-22 15:50:11 |
Last Commit At | |
Stargazers Count | 33928 |
Watchers Count | 316 |
Fork Count | 4900 |
Commits Count | 2711 |
Has Issues Enabled | |
Issues Count | 967 |
Issue Open Count | 50 |
Pull Requests Count | 444 |
Pull Requests Open Count | 21 |
Pull Requests Close Count | 138 |
Has Wiki Enabled | |
Is Archived | |
Is Fork | |
Is Locked | |
Is Mirror | |
Is Private |