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https://github.com/jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
https://github.com/jbramburger/DataDrivenDynSyst
autoencoder autoencoder-neural-network autoencoders conservation-laws data-science dynamic-mode-decomposition dynamical-systems extended-dynamic-mode-decomposition forecasting kernel-methods machine-learning neural-network physics-informed-learning physics-informed-neural-networks poincare-map sindy sindy-algorithm stroboscopic-map time-delay universal-approximation-theorem
Last synced: about 2 months ago
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Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
- Host: GitHub
- URL: https://github.com/jbramburger/DataDrivenDynSyst
- Owner: jbramburger
- License: mit
- Created: 2022-03-09T19:04:16.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-21T16:04:19.000Z (6 months ago)
- Last Synced: 2024-06-19T16:06:54.973Z (3 months ago)
- Topics: autoencoder, autoencoder-neural-network, autoencoders, conservation-laws, data-science, dynamic-mode-decomposition, dynamical-systems, extended-dynamic-mode-decomposition, forecasting, kernel-methods, machine-learning, neural-network, physics-informed-learning, physics-informed-neural-networks, poincare-map, sindy, sindy-algorithm, stroboscopic-map, time-delay, universal-approximation-theorem
- Language: Jupyter Notebook
- Homepage:
- Size: 75.6 MB
- Stars: 67
- Watchers: 4
- Forks: 10
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE