🦄 This repository contains a collection of exercises from the homonym book Data Driven Science and Engineering (aut. J. Nathan Kutz, Steven L. Brunton).
📚 The exercises were executed in occasion of the Scientific Machine Learning special course at DTU Compute.
😎 Authors are Nicole Rosi and Jens Peter Schøler.
📹 The Notebooks contains links to my Youtube channel were videos can be dispalied.
📔 Link to the jupyter-book format.
Create jupybook mamba virtual env with most of dependencies included with:
conda env create -f environment.yml
install deepxde:
mamba -c conda-forge deepxde
these library allow to run all notebooks in this repository.
Install jupyter-book:
mamba -c conda-forge jupyter-book
build your book:
jupyter-book build .
see your book preview:
cd _build/html
python -m http.server 8000
For more information visit: jupyter book docs.