IM
qzed/irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
319 63 +0/wk
GitHub
inverse-reinforcement-learning machine-learning maximum-entropy
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0
Star & Fork Trend (17 data points)
Stars
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qzed/irl-maxent has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | irl-maxent | kfac-jax | skpro | Flow-Factory |
|---|---|---|---|---|
| Stars | 319 | 319 | 320 | 318 |
| Forks | 63 | 30 | 185 | 22 |
| Weekly Growth | +0 | +0 | +0 | +2 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | BSD-3-Clause | Apache-2.0 |
Capability Radar vs kfac-jax
irl-maxent
kfac-jax
Maintenance Activity 0
Last code push 717 days ago.
Community Engagement 99
Fork-to-star ratio: 19.7%. 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.