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Steve Brunton

@Eigensteve · 68 tutorials here

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16:11

Python Symbolic Regression (PySR) [Physics Informed Machine Learning]
Steve Brunton
50.6K views
17:26

Residual Networks (ResNet) [Physics Informed Machine Learning]
Steve Brunton
90.8K views
17:46

Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
Steve Brunton
60.8K views
17:17

Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]
Steve Brunton
43K views
34:32

Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
Steve Brunton
209.1K views
18:28

Sparse Nonlinear Dynamics Models with SINDy, Part 5: The Optimization Algorithms
Steve Brunton
24K views
19:10

Discrepancy Modeling with Physics Informed Machine Learning
Steve Brunton
52.1K views
19:24

Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]
Steve Brunton
35.2K views
19:49

Lagrangian Neural Network (LNN) [Physics Informed Machine Learning]
Steve Brunton
40.3K views
13:43

Neural Implicit Flow (NIF) [Physics Informed Machine Learning]
Steve Brunton
15.3K views
24:37

Neural ODEs (NODEs) [Physics Informed Machine Learning]
Steve Brunton
114.4K views
24:06

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!
Steve Brunton
100.7K views
17:32

Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models
Steve Brunton
41.2K views
47:27

Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
Steve Brunton
371.8K views
19:40

Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models
Steve Brunton
31.8K views
43:27

AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
Steve Brunton
136.5K views
27:17

Sparse Nonlinear Dynamics Models with SINDy, Part 4: The Library of Candidate Nonlinearities
Steve Brunton
26.6K views
36:11

AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning]
Steve Brunton
57.3K views
36:30

AI/ML+Physics Part 3: Designing an Architecture [Physics Informed Machine Learning]
Steve Brunton
65.7K views
23:12

AI/ML+Physics Part 4: Crafting a Loss Function [Physics Informed Machine Learning]
Steve Brunton
50.1K views
32:35

AI/ML+Physics Part 5: Employing an Optimization Algorithm [Physics Informed Machine Learning]
Steve Brunton
32.8K views
24:01

AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]
Steve Brunton
28.7K views
19:01

AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning]
Steve Brunton
26.7K views
26:56

Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning
Steve Brunton
154.9K views