A Control Systems Toolbox for Julia

pyMOR - Model Order Reduction with Python

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods

MADS: Model Analysis & Decision Support

Easy Reduced Basis method

Modred main repository

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.

Numerical Implementation (Finite Difference) of the Pseudo-two-Dimensional Model for Lithium-ion Batteries

emgr -- EMpirical GRamian Framework

Support Vector Regression for Unsupervised Machine Learning

morgen - Model Order Reduction for Gas and Energy Networks

AMORe-CMS (Automatic Model Order Reduction using Component Mode Syntesis) is MATLAB software that automatically performs physics-based model order reduction using component mode synthesis (CMS) on structural FE models made in COMSOL Multiphysics.

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

Matlab implementation of online and window dynamic mode decomposition algorithms

Python bindings to pressio