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Juelich Machine Learning Library

Project description

julearn

PyPI PyPI - Python Version PyPI - Wheel GitHub Codecov pre-commit

About

The Forschungszentrum Jülich Machine Learning Library

Check our full documentation here: https://juaml.github.io/julearn/index.html Check our video tutorial here: julearn Playlist

It is currently being developed and maintained at the Applied Machine Learning group at Forschungszentrum Juelich, Germany.

Installation

Use pip to install from PyPI like so:

pip install julearn

Licensing

julearn is released under the AGPL v3 license:

julearn, FZJuelich AML machine learning library. Copyright (C) 2020, authors of julearn.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see http://www.gnu.org/licenses/.

Citing

We still do not have a publication that you can use to cite julearn in your manuscript. However, julearn realies heavily on scikit-learn.

Please cite scikit-learn: https://scikit-learn.org/stable/about.html#citing-scikit-learn

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