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          <h1>Are we <strong>learning</strong> yet?</h1>
          <p style="margin-top: 60px; position: relative;">
            <span>A work-in-progress to catalog</span>
            <br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
            the state of <b style="color: #b7410e">machine learning in Rust</b>
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        It's ripe for experimentation,<br>
        but the ecosystem isn't very complete yet.
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    <p>
      Rust's performance, low-level control, and zero-cost high-level abstractions make it a compelling
      alternative to more established ecosystems for Machine Learning.
      While the Rust ML ecosystem is still young and best described as experimental,
      several ambitious projects and building blocks have emerged.
      Using <a href="https://www.youtube.com/watch?v=lY10kTcM8ek">Rust to solve a real-world machine learning problem</a>
      even made the cut for RustConf 2016.
    </p>

    <p>
      In addition to the many wonderful projects that contain individual implementations of certain methods and algorithms (many of which are listed here),
      there are also meta-crates like <a href="https://github.com/rust-ml/linfa">linfa</a> and <a href="https://smartcorelib.org/">smartcore</a>
      that provide a convenient, bundled approach to many machine learning algorithms that may be of interest to developers looking 
      for a practical solution
    </p>


    <p>
      As a developing ecosystem, there are plenty of opportunities for contributors to fill in the gaps
      by helping out existing projects or starting new ones.
    </p>
    <p>
    An unofficial Working Group in the machine learning domain has been established <a href='https://github.com/rust-ml'>here</a>.

    For help or questions with Rust ML, feel free to reach out on the <a href='https://rust-ml.zulipchat.com/'>Zulip chat</a>.
    </p>
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      <h3>Rust Machine Learning Ecosystem</h3>
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    <h3>Additional resources</h3>
    <p>See also some of these talks, tutorials, demos about machine learning in Rust:</p>

    <ul>
      <li>
        <a href="https://github.com/rust-community/rustbridge/tree/master/workshops/src/machine_learning">Spam or Ham?</a> -
        End-to-end Rust ML tutorial aimed at Rust beginners (uses <a href="https://github.com/maciejkula/rustlearn">rustlearn</a>)
      </li>
      <li>
        <a href="http://learning-machines.herokuapp.com/">Learning Machines</a> -
        Interactive tutorials on machine learning powered by <a href="https://github.com/AtheMathmo/rusty-machine">rusty-machine</a>
      <li>
        <a href="http://athemathmo.github.io/2016/07/28/rusty-machine-talk.html">Rusty Machine talk</a> -
        Intro to Rust ML with <a href="https://github.com/AtheMathmo/rusty-machine">rusty-machine</a>
      </li>
      <li>...<a href="https://github.com/anowell/are-we-learning-yet/issues/new">suggest additional resources</a> for getting started with ML in Rust</li>
    </ul>
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