SP
levimcclenny/SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
286 49 +0/wk
GitHub
adaptive-pinns deep-learning neural-network neural-networks pdes physics-informed-learning pinns scientific-computing sciml stiff-pdes tensorflow
Trend
0
Star & Fork Trend (18 data points)
Stars
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levimcclenny/SA-PINNs has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | SA-PINNs | maze | Machine-learning-interview | ax-samples |
|---|---|---|---|---|
| Stars | 286 | 286 | 285 | 287 |
| Forks | 49 | 12 | 21 | 63 |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | Python | Python | N/A | CMake |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | NOASSERTION | N/A | BSD-3-Clause |
Capability Radar vs maze
SA-PINNs
maze
Maintenance Activity 0
Last code push 1639 days ago.
Community Engagement 86
Fork-to-star ratio: 17.1%. 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 30
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Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.