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Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
sindy
time-delay
autoencoder
forecasting
autoencoders
data-science
poincare-map
kernel-methods
neural-network
sindy-algorithm
machine-learning
stroboscopic-map
conservation-laws
dynamical-systems
physics-informed-learning
autoencoder-neural-network
dynamic-mode-decomposition
universal-approximation-theorem
physics-informed-neural-networks
extended-dynamic-mode-decomposition
Created
2022-03-09
144 commits to main branch, last one 3 months ago
Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
Created
2020-09-20
35 commits to master branch, last one 2 years ago