NS
jdtoscano94/NABLA-SciML
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
658 198 +0/wk
GitHub
cpikans deep-learning deeponet inverse-pinns inverse-problems jax kolmogorov-arnold-networks machine-learning neural-network neural-networks physicsinformedneuralnetworks pikans
Trend
3
Star & Fork Trend (36 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jdtoscano94/NABLA-SciML has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | NABLA-SciML | robotics-rl-srl | Structured3D | deeplearning.ai |
|---|---|---|---|---|
| Stars | 658 | 657 | 659 | 659 |
| Forks | 198 | 92 | 73 | 379 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | N/A |
Capability Radar vs robotics-rl-srl
NABLA-SciML
robotics-rl-srl
Maintenance Activity 87
Last code push 30 days ago.
Community Engagement 100
Fork-to-star ratio: 30.1%. 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
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.