PP
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
2.3k 424 +0/wk
GitHub
deep-learning deep-reinforcement-learning policy-gradient ppo ppo-pytorch proximal-policy-optimization pytorch pytorch-implmention pytorch-tutorial reinforcement-learning reinforcement-learning-algorithms
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
nikhilbarhate99/PPO-PyTorch has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | PPO-PyTorch | nextpy | Awesome-AutoDL | axlearn |
|---|---|---|---|---|
| Stars | 2.3k | 2.3k | 2.3k | 2.3k |
| Forks | 424 | 182 | 320 | 402 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs nextpy
PPO-PyTorch
nextpy
Maintenance Activity 0
Last code push 638 days ago.
Community Engagement 91
Fork-to-star ratio: 18.2%. 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.