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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 | sjchoi86/Tensorflow-101 TensorFlow Tutorials | guillaume-chevalier/LSTM-Human-Activity-Recognition Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier |
|---|---|---|
| Stars | 2,589 | 3,490 |
| Net stars, last 30 days | -1 | +5 |
| Largest star day | +1 on Sep 29, 2026 | +1 on Apr 29, 2026 |
| Milestone reached in the record | None | None |
| Forks | 721 | 928 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | MIT |
| Created | May 9, 2016 | May 18, 2016 |
| Last push | Mar 23, 2020 | Nov 6, 2022 |
| 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 (2 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 | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: recurrent-neural-networks. 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