data-driven-discovery

Code associated to the paper "Deep learning of conjugate mappings"

MATLAB files for discovery of Poincaré maps

Code for discovering slow timescale dynamics using the SINDy method

Source code for the paper from Transactions on Visualization and Computer Graphics in 2020-2021 by Cashman et al on Columnar Data Augmentation through Visual Analytics using Knowledge Graphs

Code associated to the paper "Data-driven stabilization of periodic orbits"

Hands-on tutorials for the EAA Summer School on Interpretable Machine Learning in Acoustics.

LieSD: data-driven discovery of continuous Lie symmetries and Lie algebra generators from trained neural networks, supporting vector, multi-channel, and tensor data without group sampling.

Symbolic regression vs MLP on Kepler’s Third Law: a Law-Discovery Machine (LDM) using PySR. (Has Paper with it)

Hybrid symbolic regression + SINDy framework for automated discovery of governing equations from noisy data. No prior domain knowledge required.