LA
zuoxingdong/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
378 31 +0/wk
GitHub
artificial-intelligence cem cmaes ddpg deep-deterministic-policy-gradient deep-learning deep-reinforcement-learning evolution-strategies machine-learning mujoco policy-gradient ppo
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
zuoxingdong/lagom has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | lagom | End-to-end-DRL-for-FJSP | MO-Gymnasium | hootenanny |
|---|---|---|---|---|
| Stars | 378 | 378 | 378 | 378 |
| Forks | 31 | 81 | 53 | 77 |
| Weekly Growth | +0 | +1 | +1 | +0 |
| Language | Jupyter Notebook | Python | Python | JavaScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | GPL-3.0 |
Capability Radar vs End-to-end-DRL-for-FJSP
lagom
End-to-end-DRL-for-FJSP
Maintenance Activity 0
Last code push 1237 days ago.
Community Engagement 41
Fork-to-star ratio: 8.2%. Lower fork ratio may indicate passive usage.
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.