CA
Zeta36/chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
2.2k 480 +0/wk
GitHub
alphago-zero chess keras reinforcement-learning tensorflow
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Zeta36/chess-alpha-zero has +0 stars this period . 7-day velocity: -0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | chess-alpha-zero | machine-learning-with-ruby | pytextrank | raster-vision |
|---|---|---|---|---|
| Stars | 2.2k | 2.2k | 2.2k | 2.2k |
| Forks | 480 | 180 | 334 | 396 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Ruby | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | CC0-1.0 | MIT | Apache-2.0 |
Capability Radar vs machine-learning-with-ruby
chess-alpha-zero
machine-learning-with-ruby
Maintenance Activity 0
Last code push 1111 days ago.
Community Engagement 100
Fork-to-star ratio: 21.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.