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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 | Lizhi-sjtu/DRL-code-pytorch Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC. | wandb/wandb The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production. |
|---|---|---|
| Stars | 1,490 | 11,320 |
| Net stars, last 30 days | 0 | +23 |
| Largest star day | +2 on Jun 2, 2026 | +12 on Oct 13, 2026 |
| Milestone reached in the record | None | None |
| Forks | 206 | 915 |
| Language | Python | Python |
| License | MIT | MIT |
| Created | Mar 23, 2022 | Mar 24, 2017 |
| Last push | Mar 29, 2023 | Nov 14, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 3 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 1 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 509 |
| Weeks with commits, last 52 | No data | 52 of 52 |
| In the Repository Index since | Nov 13, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: pytorch, 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