PINA and PINO_Applications
PINA is a general-purpose physics-informed neural network framework, while PINO_Applications is a specialized collection of use cases demonstrating the application of Physics-Informed Neural Operators (PINOs), making them complementary tools where the latter showcases advanced techniques built on concepts related to the former's domain.
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 PINO_Applications
shawnrosofsky/PINO_Applications
Applications of PINOs
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