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pysindy
A package for the sparse identification of nonlinear dynamical systems from datapykoopman
A package for computing data-driven approximations to the Koopman operator.databook_matlab
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/SINDy-PI
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamicspysensors
PySensors is a Python package for sparse sensor placementdominant-balance
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)hydrogym
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.modified-SINDy
Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Datalangevin-regression
Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. BruntonMultiArm-Pendulum
This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum hardware, their corresponding user's manual, and data set we collected from our hardware, which is useful for Machine Learning and AI community.deep-learning-fluids
A collection of codes and references for deep learning in fluid dynamicsctf-dl-tutorial
CTF workshop deep learning tutorial and hackathonSaddle-Mediated-Transport-of-Double-Pendulum
NormalFormAE
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