本仓库旨在系统解读 Hugging Face `trl` 库中 Proximal Policy Optimization (PPO) 算法的核心源码
Python · active 2023-08-15 → 2026-10-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1173 days from 2023-08-15 to 2026-10-30. Pushes: 6,786 total, peak 44 in a day. Pull requests: 3,545 total, peak 21 in a day. Issues: 3,000 total, peak 32 in a day. Comments: 14,917 total, peak 81 in a day. Stars: 10,552 total, peak 91 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| qgallouedec | 10.6K | 3.9K | 1.1K | 3.2K |
| kashif | 2.4K | 628 | 308 | 729 |
| younesbelkada | 2.1K | 483 | 352 | 701 |
| lewtun | 1.7K | 316 | 125 | 717 |
| HuggingFaceDocBuilderDev | 1.4K | 0 | 0 | 1.4K |
| github-actions[bot] | 1K | 1 | 52 | 555 |
| albertvillanova | 933 | 363 | 185 | 215 |
| lvwerra | 724 | 69 | 61 | 380 |
| vwxyzjn | 703 | 160 | 110 | 283 |
| shirinyamani | 570 | 224 | 46 | 148 |
| sergiopaniego | 500 | 295 | 59 | 73 |
| edbeeching | 413 | 97 | 39 | 115 |
| cursor[bot] | 291 | 0 | 0 | 131 |
| LeonEricsson | 265 | 10 | 27 | 151 |
| pramodith | 218 | 16 | 33 | 116 |
| behroozazarkhalili | 164 | 78 | 32 | 29 |
| August-murr | 151 | 2 | 24 | 93 |
| gaetanlop | 129 | 0 | 14 | 82 |
| mnoukhov | 106 | 0 | 23 | 58 |
| AmineDiro | 100 | 74 | 3 | 13 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 10,552 stars here means stars gained during the window, not the repo's star count.