CA
NeymarL/ChineseChess-AlphaZero
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
1.2k 364 +0/wk
GitHub
alphazero chinese-chess deep-learning reinforcement-learning
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
NeymarL/ChineseChess-AlphaZero has +0 stars this period . 7-day velocity: 0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | ChineseChess-AlphaZero | Awesome-TimeSeries-SpatioTemporal-LM-LLM | mlforecast | Autonomous-Agents |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 364 | 90 | 123 | 92 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | N/A | Apache-2.0 | MIT |
Capability Radar vs Awesome-TimeSeries-SpatioTemporal-LM-LLM
ChineseChess-AlphaZero
Awesome-TimeSeries-SpatioTemporal-LM-LLM
Maintenance Activity 0
Last code push 1111 days ago.
Community Engagement 100
Fork-to-star ratio: 30.2%. 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 70
Licensed under GPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.