model-reduction topic
oml
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
ROM-OpInf-Combustion-2D
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.
p2d-model
Numerical Implementation (Finite Difference) of the Pseudo-two-Dimensional Model for Lithium-ion Batteries
rom-operator-inference-Python3
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
sssMOR
sssMOR - Sparse State-Space and Model Order Reduction Toolbox
morgen
morgen - Model Order Reduction for Gas and Energy Networks
hapod
HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition