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Facts
| Fact | microsoft/Swin-Transformer This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows". | huggingface/pytorch-image-models The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more |
|---|---|---|
| Stars | 16,085 | 37,262 |
| Net stars, last 30 days | -5 | +93 |
| Largest star day | +9 on Jun 8, 2026 | +21 on May 13, 2026 |
| Milestone reached in the record | None | None |
| Forks | 2,211 | 5,223 |
| Language | Python | Python |
| License | MIT | APACHE-2.0 |
| Created | Mar 25, 2021 | Feb 2, 2019 |
| Last push | Jul 24, 2024 | Nov 3, 2026 |
| Archived | Yes | No |
| Health facts: Maintenance | 0 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 2 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 246 |
| Weeks with commits, last 52 | No data | 47 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: image-classification, imagenet. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone; AwesomeRepos does not add them into one score. How each check is defined