PP
lucidrains/ppo
An implementation of PPO in Pytorch
108 11 +0/wk
GitHub
artificial-intelligence proximal-policy-optimization reinforcement-learning
Trend
0
Star & Fork Trend (14 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/ppo has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | ppo | hana-ml-samples | 1c-ai-development-kit | stable-diffusion-cpp-python |
|---|---|---|---|---|
| Stars | 108 | 108 | 108 | 108 |
| Forks | 11 | 62 | 11 | 15 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | PowerShell | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | MIT |
Capability Radar vs hana-ml-samples
ppo
hana-ml-samples
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 51
Fork-to-star ratio: 10.2%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.