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About us
========

.. include:: ../AUTHORS.rst

.. seealso::

   :ref:`How you can contribute to the project <contributing>`

.. _citing-scikit-learn:

Citing scikit-learn
-------------------

If you use scikit-learn in a scientific publication, we would appreciate
citations to the following paper:

  `Scikit-learn: Machine Learning in Python
  <http://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>`_, Pedregosa
  *et al.*, JMLR 12, pp. 2825-2830, 2011.

  Bibtex entry::

    @article{scikit-learn,
     title={Scikit-learn: Machine Learning in {P}ython},
     author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
             and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
             and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
             Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
     journal={Journal of Machine Learning Research},
     volume={12},
     pages={2825--2830},
     year={2011}
    }

If you want to cite scikit-learn for its API or design, you may also want to consider the
following paper:

  `API design for machine learning software: experiences from the scikit-learn
  project <http://arxiv.org/abs/1309.0238>`_, Buitinck *et al.*, 2013.

  Bibtex entry::

    @inproceedings{sklearn_api,
      author    = {Lars Buitinck and Gilles Louppe and Mathieu Blondel and
                   Fabian Pedregosa and Andreas Mueller and Olivier Grisel and
                   Vlad Niculae and Peter Prettenhofer and Alexandre Gramfort
                   and Jaques Grobler and Robert Layton and Jake VanderPlas and
                   Arnaud Joly and Brian Holt and Ga{\"{e}}l Varoquaux},
      title     = {{API} design for machine learning software: experiences from the scikit-learn
                   project},
      booktitle = {ECML PKDD Workshop: Languages for Data Mining and Machine Learning},
      year      = {2013},
      pages = {108--122},
    }

Artwork
-------

High quality PNG and SVG logos are available in the `doc/logos/ <https://github.com/scikit-learn/scikit-learn/tree/master/doc/logos>`_ source directory.

.. image:: images/scikit-learn-logo-notext.png
   :align: center

Funding
-------

`INRIA <https://www.inria.fr>`_ actively supports this project. It has
provided funding for Fabian Pedregosa (2010-2012), Jaques Grobler
(2012-2013) and Olivier Grisel (2013-2015) to work on this project
full-time. It also hosts coding sprints and other events.

.. image:: images/inria-logo.jpg
   :width: 200pt
   :align: center

`Paris-Saclay Center for Data Science <http://www.datascience-paris-saclay.fr>`_
funded one year for a developer to work on the project full-time
(2014-2015).

.. image:: images/cds-logo.png
   :width: 200pt
   :align: center

`NYU Moore-Sloan Data Science Environment <http://cds.nyu.edu/mooresloan/>`_
funds Andreas Mueller (2014-2015) to work on this project. The Moore-Sloan Data Science
Environment also funds several students to work on the project part-time.

.. image:: images/nyu_short_color.png
   :width: 200pt
   :align: center

The following students were sponsored by `Google <https://developers.google.com/open-source/>`_
to work on scikit-learn through the
`Google Summer of Code <https://en.wikipedia.org/wiki/Google_Summer_of_Code>`_
program.

- 2007 - David Cournapeau
- 2011 - `Vlad Niculae`_
- 2012 - `Vlad Niculae`_, Immanuel Bayer.
- 2013 - Kemal Eren, Nicolas Tr├ęsegnie
- 2014 - Hamzeh Alsalhi, Issam Laradji, Maheshakya Wijewardena, Manoj Kumar.
- 2015 - `Raghav R V <https://github.com/raghavrv>`_, Wei Xue
- 2016 - `Nelson Liu <http://nelsonliu.me>`_, `YenChen Lin <http://yclin.me>`_

It also provided funding for sprints and events around scikit-learn. If
you would like to participate in the next Google Summer of code
program, please see `this page
<https://github.com/scikit-learn/scikit-learn/wiki/SummerOfCode>`_.

The `NeuroDebian <http://neuro.debian.net>`_ project providing `Debian
<http://www.debian.org>`_ packaging and contributions is supported by
`Dr. James V. Haxby <http://haxbylab.dartmouth.edu/>`_ (`Dartmouth
College <http://pbs.dartmouth.edu>`_).

The `PSF <https://www.python.org/psf/>`_ helped find and manage funding for our
2011 Granada sprint. More information can be found `here
<https://github.com/scikit-learn/scikit-learn/wiki/Past-sprints#granada-19th-21th-dec-2011>`__

`tinyclues <https://www.tinyclues.com/>`_ funded the 2011 international Granada
sprint.


Donating to the project
~~~~~~~~~~~~~~~~~~~~~~~

If you are interested in donating to the project or to one of our code-sprints, you can use
the `*Paypal* button on upstream website <http://scikit-learn.org/stable/about.html#donating-to-the-project>`_
or the `NumFOCUS Donations Page <http://www.numfocus.org/support-numfocus.html>`_ (if you use the latter, please indicate that you are donating for the scikit-learn project).

All donations will be handled by `NumFOCUS
<http://www.numfocus.org>`_, a non-profit-organization which is
managed by a board of `Scipy community members
<http://www.numfocus.org/board.html>`_. NumFOCUS's mission is to foster
scientific computing software, in particular in Python. As a fiscal home
of scikit-learn, it ensures that money is available when needed to keep
the project funded and available while in compliance with tax regulations.

The received donations for the scikit-learn project mostly will go towards covering travel-expenses
for code sprints, as well as towards the organization budget of the project [#f1]_.

.. rubric:: Notes

.. [#f1] Regarding the organization budget in particular, we might use some of the donated funds to pay for other project expenses such as DNS, hosting or continuous integration services.


The 2013 Paris international sprint
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

`telecom <http://www.telecom-paristech.fr/>`_,
`tinyclues <http://www.tinyclues.com/>`_,
`afpy <http://www.afpy.org>`_
`SGR <http://www.svi.cnrs-bellevue.fr>`,
`FNRS <http://www.frs-fnrs.be/>`_,
`IAP VII/19 - DYSCO <http://sites.uclouvain.be/dysco/>`_.

*For more information on this sprint, see* `here
<https://github.com/scikit-learn/administrative/blob/master/sprint_paris_2013/proposal.rst>`__


Infrastructure support
----------------------

- We would like to thank `Rackspace <https://www.rackspace.com>`_ for providing
  us with a free `Rackspace Cloud <https://www.rackspace.com/cloud/>`_ account to
  automatically build the documentation and the example gallery from for the
  development version of scikit-learn using `this tool
  <https://github.com/scikit-learn/sklearn-docbuilder>`_.

- We would also like to thank `Shining Panda
  <http://shiningpanda.com/>`_ for free CPU time on their Continuous
  Integration server.