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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 | 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 | donnemartin/data-science-ipython-notebooks Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. |
|---|---|---|
| Stars | 13,455 | 29,383 |
| Net stars, last 30 days | +83 | +39 |
| Largest star day | +11 on Sep 3, 2026 | +16 on May 20, 2026 |
| Milestone reached in the record | None | None |
| Forks | 2,674 | 7,999 |
| Language | Not reported | Python |
| License | No license | Other license |
| Created | Jan 28, 2020 | Jan 23, 2015 |
| Last push | Jun 2, 2024 | Mar 20, 2024 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks | 1 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 | 0 of 1 check |
| Health facts: Community files | 0 of 3 checks | 1 of 3 checks |
| Commits, last 13 weeks | 0 | 0 |
| Weeks with commits, last 52 | 0 of 52 | 0 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, deep-learning, data-science, python, tensorflow, caffe, keras, numpy, pandas, matplotlib. 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