Alpha Zero Style Self-Play Reinforcement Learning Chess AI using a Monte Carlo tree search. (CPU version).
active 2023-09-12 → 2023-09-13 (UTC)
Complete coverage28,085 / 28,085 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-28 (UTC)
Events
9
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2023-09-12 to 2023-09-13. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| JamesL425 | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.