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 |
|---|---|
| Primary Language | Python |
| Program language | Python (Language Count: 3) |
| Platform | Linux, Mac, Windows |
| License: | Apache License 2.0 |
| Release Count | 70 |
| Last Release Name | v1.0.20 (Posted on ) |
| First Release Name | v0.1-weights (Posted on ) |
| Created At | 2019-02-02 05:51:12 |
| Pushed At | 2025-10-20 23:32:24 |
| Last Commit At | |
| Stargazers Count | 35546 |
| Watchers Count | 315 |
| Fork Count | 5048 |
| Commits Count | 2983 |
| Has Issues Enabled | |
| Issues Count | 1008 |
| Issue Open Count | 50 |
| Pull Requests Count | 491 |
| Pull Requests Open Count | 27 |
| Pull Requests Close Count | 149 |
| Has Wiki Enabled | |
| Is Archived | |
| Is Fork | |
| Is Locked | |
| Is Mirror | |
| Is Private |
