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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 | PaccMann/paccmann_generator Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL). | vwxyzjn/cleanrl High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) |
|---|---|---|
| Stars | 11 | 10,645 |
| Net stars, last 30 days | 0 | +155 |
| Largest star day | +1 on Aug 23, 2026 | +16 on May 25, 2026 |
| Milestone reached in the record | None | 10,000 on Jul 1, 2026 |
| Forks | 7 | 1,197 |
| Language | Python | Python |
| License | MIT | Other license |
| Created | Nov 4, 2019 | Jun 7, 2019 |
| Last push | May 22, 2024 | Apr 20, 2026 |
| 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) | 1 of 3 checks (1 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: deep-reinforcement-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