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Badge](https://anaconda.org/conda-forge/julearn/badges/version.svg)](https://anaconda.org/conda-forge/julearn)\n![GitHub](https://img.shields.io/github/license/juaml/julearn?style=flat-square)\n![Codecov](https://img.shields.io/codecov/c/github/juaml/julearn?style=flat-square)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/charliermarsh/ruff)\n[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)\n![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)\n\n## About\n\nThe Forschungszentrum Jülich Machine Learning Library\n\nCheck our full documentation here: https://juaml.github.io/julearn/index.html\n\nIt 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.\n\n## Installation\n\nUse `pip` to install from PyPI like so:\n\n```\npip install julearn\n```\n\nYou can also install via `conda`, like so:\n\n```\nconda install -c conda-forge julearn\n```\n\n## Licensing\n\njulearn is released under the AGPL v3 license:\n\njulearn, FZJuelich AML machine learning library.\nCopyright (C) 2020, authors of julearn.\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU Affero General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or any later version.\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\nGNU Affero General Public License for more details.\n\nYou should have received a copy of the GNU Affero General Public License\nalong with this program.  If not, see \u003chttp://www.gnu.org/licenses/\u003e.\n\n## Citing\n\nIf you use julearn in a scientific publication, please use the following reference\n\n\u003e 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\n\nSince julearn is also heavily reliant on scikit-learn, please also cite them: https://scikit-learn.org/stable/about.html#citing-scikit-learn\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuaml%2Fjulearn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjuaml%2Fjulearn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuaml%2Fjulearn/lists"}