Toni-SM/skrl
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Star & Fork Trend (24 data points)
Multi-Source Signals
Growth Velocity
Toni-SM/skrl 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 | skrl | DeepRec | reinforcement_learning_course_materials | ML-for-High-Schoolers |
|---|---|---|---|---|
| Stars | 1.0k | 1.0k | 1.0k | 1.0k |
| Forks | 137 | 218 | 233 | 142 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Jupyter Notebook | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | NOASSERTION | N/A |
Capability Radar vs DeepRec
Last code push 3 days ago.
Fork-to-star ratio: 13.4%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.