haller-group/SSMLearn

A package for the sparse identification of nonlinear dynamical systems from data

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Python Dynamic Mode Decomposition

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

A Python Package For System Identification Using NARMAX Models

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

pyMOR - Model Order Reduction with Python

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/