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Facts
| Fact | apcode/tensorflow_fasttext Simple embedding based text classifier inspired by fastText, implemented in tensorflow | 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 | 302 | 29,387 |
| Net stars, last 30 days | Not recorded | +44 |
| Largest star day | Not recorded | +16 on May 20, 2026 |
| Milestone reached in the record | None | None |
| Forks | 90 | 7,999 |
| Language | Python | Python |
| License | MIT | Other license |
| Created | Jun 17, 2017 | Jan 23, 2015 |
| Last push | Jul 18, 2018 | Mar 20, 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 | 1 of 3 checks (2 without data) | 1 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 | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: tensorflow. 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