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<a href="https://github.com/anowell/are-we-learning-yet" class="github-corner"><svg width="80" height="80" viewBox="0 0 250 250" style="fill:#fff; color:#151513; position: absolute; top: 0; border: 0; left: 0; transform: scale(-1, 1);"><path d="M0,0 L115,115 L130,115 L142,142 L250,250 L250,0 Z"></path><path d="M128.3,109.0 C113.8,99.7 119.0,89.6 119.0,89.6 C122.0,82.7 120.5,78.6 120.5,78.6 C119.2,72.0 123.4,76.3 123.4,76.3 C127.3,80.9 125.5,87.3 125.5,87.3 C122.9,97.6 130.6,101.9 134.4,103.2" fill="currentColor" style="transform-origin: 130px 106px;" class="octo-arm"></path><path d="M115.0,115.0 C114.9,115.1 118.7,116.5 119.8,115.4 L133.7,101.6 C136.9,99.2 139.9,98.4 142.2,98.6 C133.8,88.0 127.5,74.4 143.8,58.0 C148.5,53.4 154.0,51.2 159.7,51.0 C160.3,49.4 163.2,43.6 171.4,40.1 C171.4,40.1 176.1,42.5 178.8,56.2 C183.1,58.6 187.2,61.8 190.9,65.4 C194.5,69.0 197.7,73.2 200.1,77.6 C213.8,80.2 216.3,84.9 216.3,84.9 C212.7,93.1 206.9,96.0 205.4,96.6 C205.1,102.4 203.0,107.8 198.3,112.5 C181.9,128.9 168.3,122.5 157.7,114.1 C157.9,116.9 156.7,120.9 152.7,124.9 L141.0,136.5 C139.8,137.7 141.6,141.9 141.8,141.8 Z" fill="currentColor" class="octo-body"></path></svg></a><style>.github-corner:hover .octo-arm{animation:octocat-wave 560ms ease-in-out}@keyframes octocat-wave{0%,100%{transform:rotate(0)}20%,60%{transform:rotate(-25deg)}40%,80%{transform:rotate(10deg)}}@media (max-width:500px){.github-corner:hover .octo-arm{animation:none}.github-corner .octo-arm{animation:octocat-wave 560ms ease-in-out}}</style>


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  <div class="hero">
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          <img src="/images/rust-9000.png" style="width:300px; margin-top: 20px;">
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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>
          </p>
        </div>
      </div>
    </div>
  </div>


  <div class="container section">
    <div class="tldr-headline">
        It's ripe for experimentation,<br>
        but the ecosystem isn't very complete yet.
    </div>

    <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.
    </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>
  </div>

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      <h3>Rust Machine Learning Ecosystem</h3>
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  <div class="container section">
    <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="https://github.com/anowell/are-we-learning-yet/issues/new">suggest additional resources</a> for getting started with ML in Rust</li>
    </ul>
  </div>
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