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Facts
| Fact | yassouali/pytorch-segmentation :art: Semantic segmentation models, datasets and losses implemented in PyTorch. | AccumulateMore/CV ✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】 |
|---|---|---|
| Stars | 1,818 | 24,281 |
| Net stars, last 30 days | +1 | +277 |
| Largest star day | +1 on May 15, 2026 | +57 on Apr 26, 2026 |
| Milestone reached in the record | None | None |
| Forks | 388 | 2,673 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | No license |
| Created | Jul 14, 2019 | Mar 31, 2022 |
| Last push | Feb 23, 2025 | Sep 20, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 3 of 4 checks |
| Health facts: Releases | 0 of 3 checks (1 without data) | 0 of 3 checks (1 without data) |
| 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) | 0 of 3 checks |
| Commits, last 13 weeks | No data | 1 |
| Weeks with commits, last 52 | No data | 17 of 52 |
| In the Repository Index since | Nov 12, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: computer-vision, deep-learning. 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