proper-orthogonal-decomposition

FlowModelingControl/flowtorch

flowTorch - a Python library for analysis and reduced-order modeling of fluid flows

mathLab/EZyRB

Easy Reduced Basis method

belson17/modred

Modred main repository

kylebeggs/POD-RBF

Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network

hippylib/hippyflow

Dimension reduced surrogate construction for parametric PDE maps

HexFluid/spod_python

Pythonic spectral proper orthogonal decomposition

stefaniafresca/POD-DL-ROM

Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. Available on doi.org/10.1016/j.cma.2021.114181.

stefaniafresca/DL-ROM-Meth

Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.

erdc/pynirom

Python tools for non-intrusive reduced order modeling

erdc/podrbf_nirom

Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow water equations

gramian/hapod

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

Hendrik240298/Incremental_POD

A straightforward prototype implementation of the incremental POD to demonstrate its use in reduced order modeling.

JanRotti/podGalerkin

erdc/node_nirom

Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs

papadeiv/NNsPOD

Deep-learning model for optimised proper orthogonal decomposition of non-linear, hyperbolic, parametric PDEs based on a pre-processing method of the full-order solutions

rubenpersicot/heat

Implementation of the Finite Element Method (FEM) and the Proper Orthogonal Decomposition (POD) to study the heat equation

azzeddinetiba/ROM_AM

Non-intrusive Reduced Order Modeling package

taku31/POD-analysis-in-2D-flow

#fluid-simulation #navier-stokes

athos-innocenti/MORForNonlinearEllipticProblem

Solving a non-linear elliptic problem via POD, PINN and POD-nn approaches

weiqishen/PSPOD

SPOD toolbox