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.
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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