Pinned Repositories
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 J. Nathan Kutz and Steven L. Brunton 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 J. Nathan Kutz and Steven L. Brunton
derivative
Optimal numerical differentiation of noisy time series data in python.
dominant-balance
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
modified-SINDy
Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
SciMLDocs
Global documentation for the Julia SciML Scientific Machine Learning Organization
SINDy-PI
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
SindyAutoencoders
SINDySR3
Transport Phenomena's Repositories
Purdue-University-690/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 J. Nathan Kutz and Steven L. Brunton
Purdue-University-690/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 J. Nathan Kutz and Steven L. Brunton http://www.databookuw.com/
Purdue-University-690/derivative
Optimal numerical differentiation of noisy time series data in python.
Purdue-University-690/dominant-balance
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
Purdue-University-690/modified-SINDy
Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
Purdue-University-690/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
Purdue-University-690/SciMLDocs
Global documentation for the Julia SciML Scientific Machine Learning Organization
Purdue-University-690/SINDy-PI
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
Purdue-University-690/SindyAutoencoders
Purdue-University-690/SINDySR3