JA
ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
756 74 +0/wk
GitHub
batch-reinforcement-learning behavioral-cloning continuous-control deep-deterministic-policy-gradient deep-learning deep-reinforcement-learning flax gym jax offline-reinforcement-learning reinforcement-learning sac
Trend
0
Star & Fork Trend (23 data points)
Stars
Forks
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Growth Velocity
ikostrikov/jaxrl has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | jaxrl | Medical-Graph-RAG | pysc2-examples | deepforge |
|---|---|---|---|---|
| Stars | 756 | 756 | 756 | 756 |
| Forks | 74 | 133 | 349 | 74 |
| Weekly Growth | +0 | +0 | -1 | +0 |
| Language | Jupyter Notebook | Python | Python | JavaScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs Medical-Graph-RAG
jaxrl
Medical-Graph-RAG
Maintenance Activity 0
Last code push 1261 days ago.
Community Engagement 49
Fork-to-star ratio: 9.8%. 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.