KJ
google-deepmind/kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
319 30 +0/wk
GitHub
bayesian-deep-learning machine-learning optimization
Trend
0
Star & Fork Trend (9 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
google-deepmind/kfac-jax 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 | kfac-jax | irl-maxent | skpro | Flow-Factory |
|---|---|---|---|---|
| Stars | 319 | 319 | 320 | 318 |
| Forks | 30 | 63 | 185 | 22 |
| Weekly Growth | +0 | +0 | +0 | +2 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | BSD-3-Clause | Apache-2.0 |
Capability Radar vs irl-maxent
kfac-jax
irl-maxent
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 47
Fork-to-star ratio: 9.4%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.