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Facts
| Fact | rosinality/stylegan2-pytorch Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch | POSTECH-CVLab/PyTorch-StudioGAN StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. |
|---|---|---|
| Stars | 2,835 | 3,494 |
| Net stars, last 30 days | +2 | +13 |
| Largest star day | +2 on Aug 25, 2026 | +4 on Oct 26, 2026 |
| Milestone reached in the record | None | None |
| Forks | 622 | 343 |
| Language | Python | Python |
| License | MIT | Other license |
| Created | Dec 13, 2019 | Jun 19, 2020 |
| Last push | Nov 6, 2023 | Aug 9, 2024 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 0 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 11, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: stylegan2. 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