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Automated data-driven modeling, the process of directly discovering the governing equations of a dynamical system from data, ... This video discusses data requirements for the Sparse Identification of Nonlinear Dynamics (SINDy) Speaker: Kadierdan Kaheman Event: Second Symposium on Machine Learning and Dynamical Systems ... Increased computational resources and machine learning methods have triggered a new era of data science that has ...
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PySINDy tutorial 3: robust sparse system identification
PySINDy tutorial 4: robust sparse system identification by ensembling
PySINDy tutorial 8: building feature libraries
PySINDy tutorial 6: the weak formulation of SINDy and SINDy-PI
PySINDy tutorial 7: identifying partial differential equations (PDEs) and choosing a regularization
PySINDy: A Python Library for Model Discovery
Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models
SINDy-PI: A Robust Algorithym for Parallel Implicit Sparse Identification of Nonlinear Dynamics
Hybrid Machine Learning with Seeq SysID
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Last Updated: June 7, 2026
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