PySINDy: A Python Library for Model Discovery Published -- Download video MP4 360p Recommendations 12:44 PySINDy tutorial 1: overview of PySINDy for sparse system identification 24:06 Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later! 17:53 The Anatomy of a Dynamical System 1:09:56 Data Driven Discovery of Dynamical Systems and PDEs 17:21 Deep Delay Autoencoders Discover Dynamical Systems w Latent Variables: Deep Learning meets Dynamics! 56:04 Subspace State-Space System Identification: Derivation and Python Implementation - Control Theory 27:30 The SINDy Algorithm 24:31 Deep Learning of Dynamics and Coordinates with SINDy Autoencoders 37:24 Python Reinforcement Learning using Stable baselines. Mario PPO 27:41 Understanding Mamba and State Space Models 45:38 Data-driven model discovery: Targeted use of deep neural networks for physics and engineering 20:18 Why Does Diffusion Work Better than Auto-Regression? 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 20:47 The Genius Behind the Quantum Navigation Breakthrough 18:27 PySINDy tutorial 6: the weak formulation of SINDy and SINDy-PI 38:28 Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization 21:28 SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Similar videos 07:44 PySINDy tutorial 4: robust sparse system identification by ensembling 12:09 Robust Model Discovery with Ensemble Learning and SINDy (applications to active learning & control) 12:23 PySINDy tutorial 2: Choosing algorithm hyperparameters 40:37 Model Discovery for Dynamical Systems 19:40 Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models 13:27 ADDRESSING OVERFITTING ISSUES IN THE SPARSE IDENTIFICATION OF NONLINEAR DYNAMICAL SYSTEMS More results