PINA and burger-pinn

PINA is a general-purpose framework for building physics-informed neural networks across diverse PDEs, while burger-pinn is a specialized single-equation implementation, making them competitors at different scales of abstraction rather than complements or siblings.

PINA
57
Established
burger-pinn
40
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Stars: 719
Forks: 95
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 33
Forks: 8
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 burger-pinn

314arhaam/burger-pinn

A Physics-Informed Neural Network for solving Burgers' equation.

Related comparisons

PINA and NeuralPDE.jl PINA and XPINNs PINA and PINN PINA and PINO_Applications PINA and heat-pinn PINA and PSO-PINN

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