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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | BoltzmannEntropy/interviews.ai It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well. | tangyudi/Ai-Learn 人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域 |
|---|---|---|
| Stars | 4,898 | 13,462 |
| Net stars, last 30 days | +6 | +71 |
| Largest star day | +14 on Jun 21, 2026 | +11 on Sep 3, 2026 |
| Milestone reached in the record | None | None |
| Forks | 323 | 2,673 |
| Language | Not reported | Not reported |
| License | No license | No license |
| Created | Sep 30, 2021 | Jan 28, 2020 |
| Last push | Aug 22, 2025 | Jun 2, 2024 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks |
| 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 |
| Health facts: Community files | 0 of 3 checks (2 without data) | 0 of 3 checks |
| Commits, last 13 weeks | No data | 0 |
| Weeks with commits, last 52 | No data | 0 of 52 |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: data-science, machine-learning, deep-learning, artificial-intelligence, pytorch, python. 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