ChrisRackauckas / PINN_QuadratureLinks
Studying quadrature methods applied to PINNs
☆25Updated 3 years ago
Alternatives and similar repositories for PINN_Quadrature
Users that are interested in PINN_Quadrature are comparing it to the libraries listed below
Sorting:
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated 2 years ago
- GPTIPS2F: Symbolic Regression toolbox for MATLAB evolved☆11Updated 2 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆83Updated 3 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 4 years ago
- Scientific Machine Learning Tutorials☆38Updated 3 years ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆56Updated 2 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- ☆41Updated 5 years ago
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆40Updated 3 years ago
- Implementation of a 2D finite element solver for elliptic, parabolic and hyperbolic partial differential equations.☆10Updated 8 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems☆10Updated 10 months ago
- Stiff Neural Ordinary Differential Equations☆34Updated last year
- Gridap drivers for fluid-structure interaction applications☆27Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆31Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- ☆10Updated 2 years ago
- Transfer learning on PINNs for tracking hemodynamics☆13Updated 10 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Automatic differentiation for FEniCS/Dolfin☆12Updated last month
- ☆117Updated 5 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- A Matlab implementation of boundary element method (BEM) and method of fundamental solutions (MFS) for simulation of Stokes flow based on…☆13Updated 8 years ago
- A Python library for training neural ODEs.☆21Updated 3 months ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- Learning Green's functions of partial differential equations with deep learning.☆68Updated last year
- OpenCossan is an open and free toolbox for uncertainty quantification and management.☆53Updated 2 years ago