600 lines
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ReStructuredText
600 lines
16 KiB
ReStructuredText
.. _about:
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About us
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========
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History
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-------
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This project was started in 2007 as a Google Summer of Code project by
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David Cournapeau. Later that year, Matthieu Brucher started work on
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this project as part of his thesis.
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In 2010 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent
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Michel of INRIA took leadership of the project and made the first public
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release, February the 1st 2010. Since then, several releases have appeared
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following an approximately 3-month cycle, and a thriving international
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community has been leading the development.
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Governance
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----------
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The decision making process and governance structure of scikit-learn is laid
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out in the :ref:`governance document <governance>`.
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.. The "author" anchors below is there to ensure that old html links (in
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the form of "about.html#author" still work)
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.. _authors:
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The people behind scikit-learn
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------------------------------
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Scikit-learn is a community project, developed by a large group of
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people, all across the world. A few teams, listed below, have central
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roles, however a more complete list of contributors can be found `on
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github
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<https://github.com/scikit-learn/scikit-learn/graphs/contributors>`__.
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Maintainers Team
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................
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The following people are currently maintainers, in charge of
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consolidating scikit-learn's development and maintenance:
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.. include:: maintainers.rst
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.. note::
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Please do not email the authors directly to ask for assistance or report issues.
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Instead, please see `What's the best way to ask questions about scikit-learn
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<https://scikit-learn.org/stable/faq.html#what-s-the-best-way-to-get-help-on-scikit-learn-usage>`_
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in the FAQ.
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.. seealso::
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How you can :ref:`contribute to the project <contributing>`.
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Documentation Team
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..................
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The following people help with documenting the project:
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.. include:: documentation_team.rst
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Contributor Experience Team
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...........................
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The following people are active contributors who also help with
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:ref:`triaging issues <bug_triaging>`, PRs, and general
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maintenance:
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.. include:: contributor_experience_team.rst
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Communication Team
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..................
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The following people help with :ref:`communication around scikit-learn
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<communication_team>`.
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.. include:: communication_team.rst
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Emeritus Core Developers
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........................
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The following people have been active contributors in the past, but are no
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longer active in the project:
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.. include:: maintainers_emeritus.rst
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Emeritus Communication Team
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...........................
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The following people have been active in the communication team in the
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past, but no longer have communication responsibilities:
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.. include:: communication_team_emeritus.rst
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Emeritus Contributor Experience Team
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....................................
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The following people have been active in the contributor experience team in the
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past:
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.. include:: contributor_experience_team_emeritus.rst
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.. _citing-scikit-learn:
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Citing scikit-learn
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-------------------
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If you use scikit-learn in a scientific publication, we would appreciate
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citations to the following paper:
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`Scikit-learn: Machine Learning in Python
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<https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>`_, Pedregosa
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*et al.*, JMLR 12, pp. 2825-2830, 2011.
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Bibtex entry::
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@article{scikit-learn,
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title={Scikit-learn: Machine Learning in {P}ython},
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author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
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and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
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and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
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Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
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journal={Journal of Machine Learning Research},
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volume={12},
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pages={2825--2830},
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year={2011}
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}
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If you want to cite scikit-learn for its API or design, you may also want to consider the
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following paper:
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:arxiv:`API design for machine learning software: experiences from the scikit-learn
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project <1309.0238>`, Buitinck *et al.*, 2013.
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Bibtex entry::
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@inproceedings{sklearn_api,
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author = {Lars Buitinck and Gilles Louppe and Mathieu Blondel and
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Fabian Pedregosa and Andreas Mueller and Olivier Grisel and
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Vlad Niculae and Peter Prettenhofer and Alexandre Gramfort
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and Jaques Grobler and Robert Layton and Jake VanderPlas and
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Arnaud Joly and Brian Holt and Ga{\"{e}}l Varoquaux},
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title = {{API} design for machine learning software: experiences from the scikit-learn
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project},
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booktitle = {ECML PKDD Workshop: Languages for Data Mining and Machine Learning},
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year = {2013},
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pages = {108--122},
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}
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Artwork
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-------
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High quality PNG and SVG logos are available in the `doc/logos/
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<https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos>`_
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source directory.
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.. image:: images/scikit-learn-logo-notext.png
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:align: center
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Funding
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-------
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Scikit-learn is a community driven project, however institutional and private
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grants help to assure its sustainability.
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The project would like to thank the following funders.
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...................................
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`:probabl. <https://probabl.ai>`_ funds Adrin Jalali, Arturo Amor, François Goupil,
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Guillaume Lemaitre, Jérémie du Boisberranger, Olivier Grisel, and Stefanie Senger.
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.. div:: image-box
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.. image:: images/probabl.png
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:target: https://probabl.ai
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..........
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.. |chanel| image:: images/chanel.png
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:target: https://www.chanel.com
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.. |axa| image:: images/axa.png
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:target: https://www.axa.fr/
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.. |bnp| image:: images/bnp.png
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:target: https://www.bnpparibascardif.com/
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.. |dataiku| image:: images/dataiku.png
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:target: https://www.dataiku.com/
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.. |hf| image:: images/huggingface_logo-noborder.png
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:target: https://huggingface.co
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.. |nvidia| image:: images/nvidia.png
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:target: https://www.nvidia.com
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.. |inria| image:: images/inria-logo.jpg
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:target: https://www.inria.fr
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.. raw:: html
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<style>
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table.image-subtable tr {
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border-color: transparent;
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}
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table.image-subtable td {
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width: 50%;
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vertical-align: middle;
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text-align: center;
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}
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table.image-subtable td img {
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max-height: 40px !important;
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max-width: 90% !important;
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}
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</style>
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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The `Members <https://scikit-learn.fondation-inria.fr/en/home/#sponsors>`_ of
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the `Scikit-learn Consortium at Inria Foundation
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<https://scikit-learn.fondation-inria.fr/en/home/>`_ help at maintaining and
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improving the project through their financial support.
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.. div:: image-box
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.. table::
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:class: image-subtable
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+----------+-----------+
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| |chanel| |
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+----------+-----------+
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| |axa| | |bnp| |
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+----------+-----------+
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| |nvidia| | |hf| |
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+----------+-----------+
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| |dataiku| |
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+----------+-----------+
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| |inria| |
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+----------+-----------+
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..........
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`NVidia <https://nvidia.com>`_ funds Tim Head since 2022
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and is part of the scikit-learn consortium at Inria.
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.. div:: image-box
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.. image:: images/nvidia.png
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:target: https://nvidia.com
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..........
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`Microsoft <https://microsoft.com/>`_ funds Andreas Müller since 2020.
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.. div:: image-box
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.. image:: images/microsoft.png
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:target: https://microsoft.com
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...........
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`Quansight Labs <https://labs.quansight.org>`_ funds Lucy Liu since 2022.
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.. div:: image-box
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.. image:: images/quansight-labs.png
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:target: https://labs.quansight.org
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...........
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`Tidelift <https://tidelift.com/>`_ supports the project via their service
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agreement.
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.. div:: image-box
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.. image:: images/Tidelift-logo-on-light.svg
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:target: https://tidelift.com/
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...........
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Past Sponsors
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`Quansight Labs <https://labs.quansight.org>`_ funded Meekail Zain in 2022 and 2023,
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and funded Thomas J. Fan from 2021 to 2023.
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.. div:: image-box
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.. image:: images/quansight-labs.png
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:target: https://labs.quansight.org
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...........
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`Columbia University <https://columbia.edu/>`_ funded Andreas Müller
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(2016-2020).
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.. div:: image-box
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.. image:: images/columbia.png
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:target: https://columbia.edu
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........
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`The University of Sydney <https://sydney.edu.au/>`_ funded Joel Nothman
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(2017-2021).
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.. div:: image-box
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.. image:: images/sydney-primary.jpeg
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:target: https://sydney.edu.au/
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...........
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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Andreas Müller received a grant to improve scikit-learn from the
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`Alfred P. Sloan Foundation <https://sloan.org>`_ .
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This grant supported the position of Nicolas Hug and Thomas J. Fan.
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.. div:: image-box
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.. image:: images/sloan_banner.png
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:target: https://sloan.org/
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.............
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`INRIA <https://www.inria.fr>`_ actively supports this project. It has
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provided funding for Fabian Pedregosa (2010-2012), Jaques Grobler
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(2012-2013) and Olivier Grisel (2013-2017) to work on this project
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full-time. It also hosts coding sprints and other events.
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.. div:: image-box
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.. image:: images/inria-logo.jpg
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:target: https://www.inria.fr
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.....................
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`Paris-Saclay Center for Data Science <http://www.datascience-paris-saclay.fr/>`_
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funded one year for a developer to work on the project full-time (2014-2015), 50%
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of the time of Guillaume Lemaitre (2016-2017) and 50% of the time of Joris van den
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Bossche (2017-2018).
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.. div:: image-box
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.. image:: images/cds-logo.png
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:target: http://www.datascience-paris-saclay.fr/
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..........................
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`NYU Moore-Sloan Data Science Environment <https://cds.nyu.edu/mooresloan/>`_
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funded Andreas Mueller (2014-2016) to work on this project. The Moore-Sloan
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Data Science Environment also funds several students to work on the project
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part-time.
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.. div:: image-box
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.. image:: images/nyu_short_color.png
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:target: https://cds.nyu.edu/mooresloan/
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........................
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`Télécom Paristech <https://www.telecom-paristech.fr/>`_ funded Manoj Kumar
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(2014), Tom Dupré la Tour (2015), Raghav RV (2015-2017), Thierry Guillemot
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(2016-2017) and Albert Thomas (2017) to work on scikit-learn.
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.. div:: image-box
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.. image:: images/telecom.png
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:target: https://www.telecom-paristech.fr/
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`The Labex DigiCosme <https://digicosme.lri.fr>`_ funded Nicolas Goix
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(2015-2016), Tom Dupré la Tour (2015-2016 and 2017-2018), Mathurin Massias
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(2018-2019) to work part time on scikit-learn during their PhDs. It also
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funded a scikit-learn coding sprint in 2015.
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.. div:: image-box
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.. image:: images/digicosme.png
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:target: https://digicosme.lri.fr
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.. div:: sk-text-image-grid-small
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.. div:: text-box
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`The Chan-Zuckerberg Initiative <https://chanzuckerberg.com/>`_ funded Nicolas
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Hug to work full-time on scikit-learn in 2020.
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.. div:: image-box
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.. image:: images/czi_logo.svg
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:target: https://chanzuckerberg.com
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......................
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The following students were sponsored by `Google
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<https://opensource.google/>`_ to work on scikit-learn through
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the `Google Summer of Code <https://en.wikipedia.org/wiki/Google_Summer_of_Code>`_
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program.
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- 2007 - David Cournapeau
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- 2011 - `Vlad Niculae`_
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- 2012 - `Vlad Niculae`_, Immanuel Bayer
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- 2013 - Kemal Eren, Nicolas Trésegnie
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- 2014 - Hamzeh Alsalhi, Issam Laradji, Maheshakya Wijewardena, Manoj Kumar
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- 2015 - `Raghav RV <https://github.com/raghavrv>`_, Wei Xue
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- 2016 - `Nelson Liu <http://nelsonliu.me>`_, `YenChen Lin <https://yenchenlin.me/>`_
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.. _Vlad Niculae: https://vene.ro/
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...................
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The `NeuroDebian <http://neuro.debian.net>`_ project providing `Debian
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<https://www.debian.org/>`_ packaging and contributions is supported by
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`Dr. James V. Haxby <http://haxbylab.dartmouth.edu/>`_ (`Dartmouth
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College <https://pbs.dartmouth.edu/>`_).
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...................
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The following organizations funded the scikit-learn consortium at Inria in
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the past:
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.. |msn| image:: images/microsoft.png
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:target: https://www.microsoft.com/
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.. |bcg| image:: images/bcg.png
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:target: https://www.bcg.com/beyond-consulting/bcg-gamma/default.aspx
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.. |fujitsu| image:: images/fujitsu.png
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:target: https://www.fujitsu.com/global/
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.. |aphp| image:: images/logo_APHP_text.png
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:target: https://aphp.fr/
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.. raw:: html
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<style>
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div.image-subgrid img {
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max-height: 50px;
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max-width: 90%;
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}
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</style>
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.. grid:: 2 2 4 4
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:class-row: image-subgrid
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:gutter: 1
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.. grid-item::
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:class: sd-text-center
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:child-align: center
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|msn|
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.. grid-item::
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:class: sd-text-center
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:child-align: center
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|bcg|
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.. grid-item::
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:class: sd-text-center
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:child-align: center
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|fujitsu|
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.. grid-item::
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:class: sd-text-center
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:child-align: center
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|aphp|
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Sprints
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-------
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- The International 2019 Paris sprint was kindly hosted by `AXA <https://www.axa.fr/>`_.
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Also some participants could attend thanks to the support of the `Alfred P.
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Sloan Foundation <https://sloan.org>`_, the `Python Software
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Foundation <https://www.python.org/psf/>`_ (PSF) and the `DATAIA Institute
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<https://dataia.eu/en>`_.
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- The 2013 International Paris Sprint was made possible thanks to the support of
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`Télécom Paristech <https://www.telecom-paristech.fr/>`_, `tinyclues
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<https://www.tinyclues.com/>`_, the `French Python Association
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<https://www.afpy.org/>`_ and the `Fonds de la Recherche Scientifique
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<https://www.frs-fnrs.be>`_.
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- The 2011 International Granada sprint was made possible thanks to the support
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of the `PSF <https://www.python.org/psf/>`_ and `tinyclues
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<https://www.tinyclues.com/>`_.
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Donating to the project
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-----------------------
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If you are interested in donating to the project or to one of our code-sprints,
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please donate via the `NumFOCUS Donations Page
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<https://numfocus.org/donate-to-scikit-learn>`_.
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.. raw:: html
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<p class="text-center">
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<a class="btn sk-btn-orange mb-1" href="https://numfocus.org/donate-to-scikit-learn">
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Help us, <strong>donate!</strong>
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</a>
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</p>
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All donations will be handled by `NumFOCUS <https://numfocus.org/>`_, a non-profit
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organization which is managed by a board of `Scipy community members
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<https://numfocus.org/board.html>`_. NumFOCUS's mission is to foster scientific
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computing software, in particular in Python. As a fiscal home of scikit-learn, it
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ensures that money is available when needed to keep the project funded and available
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while in compliance with tax regulations.
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The received donations for the scikit-learn project mostly will go towards covering
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travel-expenses for code sprints, as well as towards the organization budget of the
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project [#f1]_.
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.. rubric:: Notes
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.. [#f1] Regarding the organization budget, in particular, we might use some of
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the donated funds to pay for other project expenses such as DNS,
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hosting or continuous integration services.
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Infrastructure support
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----------------------
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We would also like to thank `Microsoft Azure <https://azure.microsoft.com/en-us/>`_,
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`Cirrus Cl <https://cirrus-ci.org>`_, `CircleCl <https://circleci.com/>`_ for free CPU
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time on their Continuous Integration servers, and `Anaconda Inc. <https://www.anaconda.com>`_
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for the storage they provide for our staging and nightly builds.
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