Example notebooks that explore using PySINDy for the Sparse Identification of Nonlinear Dynamical systems. The review reference we are following is de Silva et al (2020)
To run the notebooks locally, you will need to have python installed, preferably through anaconda .
You can then clone this repository. From a command line, run
git clone https://github.com/lheagy/pysindy-notebooks.git
Then cd into the pysindy-notebooks directory:
cd pysindy-notebooks
To setup your software environment, we recommend you use the provided conda environment
conda env create -f environment.yml
conda activate pysindy
You can then launch Jupyter
jupyter notebook
Jupyter will then launch in your web-browser.