NABLA-SciML and PINN
These are competitors offering educational implementations of physics-informed neural networks, with A providing broader SciML tutorials across multiple frameworks (PyTorch and JAX) while B focuses on a single-framework PyTorch-specific PINN implementation—users would typically choose one based on whether they prioritize framework diversity or implementation simplicity.
Maintenance
16/25
Adoption
10/25
Maturity
8/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
20/25
Stars: 649
Forks: 198
Downloads: —
Commits (30d): 3
Language: Jupyter Notebook
License: —
Stars: 369
Forks: 57
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License
No Package
No Dependents
Stale 6m
No Package
No Dependents
About NABLA-SciML
jdtoscano94/NABLA-SciML
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
About PINN
nanditadoloi/PINN
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
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