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title: mlpack | fast, flexible machine learning library in C++
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        <p>A fast and flexible C++ machine learning library</p>
		<a class="legend" href="https://github.com/mlpack/mlpack/releases/tag/3.3.2">mlpack-3.3.2.tar.gz</a><br>
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<p class="intro-text">
mlpack is a fast, flexible machine learning library, written in C++, that aims
to provide fast, extensible implementations of cutting-edge machine learning
algorithms. mlpack provides these algorithms as simple command-line programs,
Python bindings, Julia bindings, and C++ classes which can then be integrated
into larger-scale machine learning solutions.
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    <a href="getstarted.html">
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          <h4>Get Started</h4>
		  <p>Download, install or build mlpack from source</p>
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		  <h4>Documentation</h4>
		  <p>Take a look at the API, bindings to other languages and more</p>
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    <a href="doc/mlpack-3.3.2/cli_documentation.html#tutorials">
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	      <h4>Tutorials</h4>
	      <p>Need some inspiration? Start with some tutorials</p>
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          <h4>FAQ</h4>
          <p>Having questions or problems? Check here</p>
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    <h4>About</h4>
	mlpack is built on the <a href="http://arma.sourceforge.net">Armadillo</a> linear algebra library,
	the <a href="https://www.ensmallen.org">ensmallen</a> numerical optimization library, and parts
	of <a href="https://boost.org">Boost</a>.
	
	<h4>License</h4>
	mlpack is open source software, licensed under the permissive <a href="https://github.com/mlpack/mlpack/blob/master/LICENSE.txt">3-clause BSD license</a>.
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  <h4>Citation</h4>

    R.R. Curtin, M. Edel, M. Lozhnikov, Y. Mentekidis, S. Ghaisas, S. Zhang.
    <a href="files/mlpack3.pdf">mlpack 3: a fast, flexible machine learning library</a>.
    Journal of Open Source Software 3:26, 2018. [<a href="files/mlpack3.bib">BibTeX</a>]
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