PINA and heat-pinn

PINA is a general-purpose physics-informed neural network framework that could be used to implement the specific 2D steady-state heat equation solver that heat-pinn demonstrates, making them complements where heat-pinn serves as a reference implementation or application of PINA's capabilities.

PINA
57
Established
heat-pinn
45
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 17/25
Stars: 719
Forks: 95
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 172
Forks: 23
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About PINA

mathLab/PINA

Physics-Informed Neural networks for Advanced modeling

Builds on PyTorch, PyTorch Lightning, and PyTorch Geometric to provide modular Problem, Model, Solver, and Trainer APIs for both supervised learning and physics-informed tasks. Supports Neural Operators and graph-based architectures, with automatic differentiation for constraint enforcement (e.g., differential equations, boundary conditions) and multi-device training via PyTorch Lightning's distributed backend.

About heat-pinn

314arhaam/heat-pinn

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

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