PINA and PSO-PINN
PINA is a general-purpose PINN framework while PSO-PINN is a specialized optimization variant, making them competitors for the same use case (training physics-informed neural networks) rather than complementary tools.
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 PSO-PINN
caio-davi/PSO-PINN
Physics-Informed Neural Networks Trained with Particle Swarm Optimization
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