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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 | rail-berkeley/softlearning Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm. | mbadry1/Top-Deep-Learning Top 200 deep learning Github repositories sorted by the number of stars. |
|---|---|---|
| Stars | 1,439 | 1,777 |
| Net stars, last 30 days | +2 | +4 |
| Largest star day | +1 on May 19, 2026 | +2 on May 30, 2026 |
| Milestone reached in the record | None | None |
| Forks | 248 | 437 |
| Language | Python | Python |
| License | Other license | MIT |
| Created | Dec 3, 2018 | Mar 16, 2018 |
| Last push | Nov 29, 2023 | Feb 17, 2024 |
| 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 | Nov 13, 2026 | Nov 12, 2026 |
Topics that all of them have on the Repository Host: deep-learning, deep-reinforcement-learning, deep-neural-networks, machine-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