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    <h3>I found a bug in the code and/or documentation. How do I report it?</h3>
    <p align="justify">
      Please make a small and self-contained program that exposes the bug, and then open an issue at the Github repo.
      Issue templates are available to help with the bug report process.
      You can also use one of the <a href="#chat">chat channels</a>.
    </p>

    <h3>How do I cite mlpack in my work?</h3>
    <p align="justify">
      Please cite the following paper if you use mlpack in your work. Citations are useful for the continued development
      of the library.
    </p>

    <p align="justify">
      R.R. Curtin, M. Edel, O. Shrit, S. Agrawal, S. Basak, J.J. Balamuta, R. Birmingham, K. Dutt, D. Eddelbuettel,
      R. Garg, S. Jaiswal, A. Kaushik, S.Kim, A. Mukherjee, N.G. Sai, N. Sharma, Y.S. Parihar, R. Swain, and C. Sanderson.
      <b>"mlpack 4: a fast, header-only C++ machine learning library."</b>  Journal of Open Source Software 8:82, 2023.
      <a href="papers/2023mlpack.bib">[bibtex]</a>
    </p>

    <h3>What is the distribution license for mlpack?</h3>
    <p align="justify">
     mlpack is licensed under the permissive <a href="http://opensource.org/licenses/BSD-3-Clause">3-clause BSD
     license</a>. See also a <a href="https://tldrlegal.com/license/bsd-3-clause-license-(revised)">Quick Summary</a> of the license. 
    </p>

    <h3>Who are the developers?</h3>
    <p align="justify">
      mlpack is a community-led effort. mlpack uses an open governance model and is fiscally sponsored by NumFOCUS.
      Consider making a <a href="https://numfocus.org/donate-to-mlpack">tax-deductible</a> donation to help the project pay for developer time, professional services,
      travel, workshops, and a variety of other needs. See the <a href="doc/developer/community.html">community page</a> for more details and a list of contributors.
    </p>

    <h3>What are the development goals?</h3>
    <p align="justify">
      See the <a
href="https://www.mlpack.org/papers/vision.pdf">vision document</a>, which lays
out a number of development goals and directions for mlpack in the short- to
medium-term future.
    </p>

    <h3>Where is the source code?</h3>
    <p align="justify">
      mlpack development is done on <a href="https://github.com/mlpack/mlpack">GitHub</a> and the source code is
      available there. There are a few related repositories that might be worth checking out also:
      <br><br>

      <span style="color:#D0331F">&bull;</span> <a href="https://github.com/mlpack/ensmallen/">ensmallen</a>: numerical optimization library<br>
      <span style="color:#D0331F">&bull;</span> <a href="https://github.com/mlpack/examples/">examples</a>: simple examples of mlpack usage<br>
      <span style="color:#D0331F">&bull;</span> <a href="https://github.com/mlpack/models/">models</a>: additional implementations of machine learning models
    </p>

    <h3>Do you accept contributions?</h3>
    <p align="justify">
      Contributions are absolutely welcome for mlpack, and anyone is welcome to
participate and contribute. See the <a href="doc/developer/community.html">community page</a> for more details.
    </p>

    <a name="chat"><h3>Is there a real-time chat channel?</h3>
    <p align="justify">
      The mlpack community uses <a href="https://matrix.org">Matrix</a>, in the
room <code>#mlpack:matrix.org</code>.  You will need to set up a matrix.org
account and use a client such as
<a href="https://matrix.org/ecosystem/clients/element/">Element</a> or others.
    </p>
    <p align="justify">
      A Slack workspace is also available at
<a href="https://mlpack.slack.com/">mlpack.slack.com</a>; in order to create an
account, you'll need to use the auto-inviter to send yourself an invite: <a
href="http://slack-inviter.mlpack.org:4000/">slack-inviter.mlpack.org:4000</a>.
Note that the Slack channel is a bridged version of the Matrix channel, and it
is generally a better experience to use Matrix.
    </p>
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