https://github.com/juaml/julearn

Forschungszentrum Jülich Machine Learning Library
https://github.com/juaml/julearn

machine-learning python

Last synced: 3 months ago
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Forschungszentrum Jülich Machine Learning Library

• Host: GitHub
• URL: https://github.com/juaml/julearn
• Owner: juaml
• License: agpl-3.0
• Created: 2020-10-28T08:05:53.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2026-03-25T14:02:21.000Z (3 months ago)
• Last Synced: 2026-03-26T13:56:30.532Z (3 months ago)
• Topics: machine-learning, python
• Language: Python
• Homepage: https://juaml.github.io/julearn
• Size: 390 MB
• Stars: 32
• Watchers: 4
• Forks: 19
• Open Issues: 18
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/contributing.rst
  • License: LICENSE.md
  • Authors: AUTHORS.rst

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README

          
# julearn

![PyPI](https://img.shields.io/pypi/v/julearn?style=flat-square)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/julearn?style=flat-square)

![PyPI - Wheel](https://img.shields.io/pypi/wheel/julearn?style=flat-square)

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/julearn/badges/version.svg)](https://anaconda.org/conda-forge/julearn)

![GitHub](https://img.shields.io/github/license/juaml/julearn?style=flat-square)

![Codecov](https://img.shields.io/codecov/c/github/juaml/julearn?style=flat-square)

[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/charliermarsh/ruff)

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)

![JuRSE Code Pick](https://img.shields.io/badge/JuRSE_Code_Pick-May_2025-blue?link=https://www.fz-juelich.de/en/rse/jurse-community/jurse-code-of-the-month/may-2025)

## About

The Forschungszentrum Jülich Machine Learning Library

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

It is currently being developed and maintained at the [Applied Machine Learning](https://www.fz-juelich.de/en/inm/inm-7/research-groups/applied-machine-learning-aml) group at [Forschungszentrum Juelich](https://www.fz-juelich.de/en), Germany.

## Installation

Use `pip` to install from PyPI like so:

```

pip install julearn

```

You can also install via `conda`, like so:

```

conda install -c conda-forge 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 .

## Citing

If you use julearn in a scientific publication, please use the following reference

> Sami Hamdan,Shammi More,Leonard Sasse,Vera Komeyer,Kaustubh R. Patil,Federico Raimondo,for the Alzheimer’s Disease Neuroimaging Initiative,Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models,Gigabyte,2024 https://doi.org/10.46471/gigabyte.113

Since julearn is also heavily reliant on scikit-learn, please also cite them: https://scikit-learn.org/stable/about.html#citing-scikit-learn