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.

NABLA-SciML
59
Established
PINN
46
Emerging
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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