dynamicslab

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/

databook_python

IPython notebooks 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

dominant-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.

langevin-regression

Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton

modified-SINDy

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

pykoopman

A package for computing data-driven approximations to the Koopman operator.

pysensors

PySensors is a Python package for sparse sensor placement

pysindy

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

SINDy-PI

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

dynamicslab/pysindy

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

dynamicslab/databook_python

IPython notebooks 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

dynamicslab/pykoopman

A package for computing data-driven approximations to the Koopman operator.

dynamicslab/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/

dynamicslab/SINDy-PI

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

dynamicslab/pysensors

PySensors is a Python package for sparse sensor placement

dynamicslab/hydrogym

An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.

dynamicslab/dominant-balance

Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

dynamicslab/modified-SINDy

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

dynamicslab/langevin-regression

Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton

dynamicslab/MultiArm-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.

dynamicslab/deep-learning-fluids

A collection of codes and references for deep learning in fluid dynamics

dynamicslab/ctf-dl-tutorial

CTF workshop deep learning tutorial and hackathon

dynamicslab/Saddle-Mediated-Transport-of-Double-Pendulum

dynamicslab/KoopmanRL-NeurIPS

dynamicslab/NormalFormAE

dynamicslab/pysindy-example

Template for example notebooks to include in pysindy's docs

dynamicslab/sindy-original-example

Recreating results of original paper