Python package PyKoopman-AE for the data-driven identification of the Koopman Operator-based models for dynamical systems using autoencoders.
Python package PyKoopman-AE for the data-driven identification of the Koopman Operator-based models for dynamical systems using autoencoders.
You can install PyKoopman-AE from PyPI using pip.
Ensure you have Python>=3.7 installed. You can download Python from the official Python website.
To install the package, run the following command in your terminal:
pip install pykoopman-ae
Alternatively, you can clone the repository and install it from the source:
git clone https://github.com/SuchethShenoy/pykoopman-ae.git
cd pykoopman_ae
pip install .
Refer to this tutorial to get started.
This project is licensed under the MIT License. See the LICENSE file for details.
For any questions or suggestions, please open an issue or contact the repository owner at [sucheth17@gmail.com].
Thank you for using PyKoopman-AE!
FAQs
Python package PyKoopman-AE for the data-driven identification of the Koopman Operator-based models for dynamical systems using autoencoders.
We found that pykoopman-ae demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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