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benmoseley/FBPINNs
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
535 108 +0/wk
GitHub
differential-equations domain-decomposition jax neural-networks physics-informed-neural-networks pinns
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0
Star & Fork Trend (21 data points)
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benmoseley/FBPINNs has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | FBPINNs | sagemaker-training-toolkit | Awesome-Document-Image-Rectification | rewriting |
|---|---|---|---|---|
| Stars | 535 | 535 | 535 | 535 |
| Forks | 108 | 140 | 40 | 77 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | MIT |
Capability Radar vs sagemaker-training-toolkit
FBPINNs
sagemaker-training-toolkit
Maintenance Activity 96
Last code push 14 days ago.
Community Engagement 100
Fork-to-star ratio: 20.2%. 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.