A package for the sparse identification of nonlinear dynamical systems from data
-
Updated
Nov 23, 2024 - Python
A package for the sparse identification of nonlinear dynamical systems from data
Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
The official respository for noise-aware physics-informed machine learning (nPIML)
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
This repository stores my personal projects related to data science studies.
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Parametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
Add a description, image, and links to the model-discovery topic page so that developers can more easily learn about it.
To associate your repository with the model-discovery topic, visit your repo's landing page and select "manage topics."