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<!DOCTYPE html>
<html prefix="og: http://ogp.me/ns# article: http://ogp.me/ns/article#
" lang="en">
<head>
<meta charset="utf-8">
<meta name="description" content="Developing neural networks made easy">
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<title>protoNN</title>
<link href="assets/css/all-nocdn.css" rel="stylesheet" type="text/css">
<meta name="theme-color" content="#5670d4">
<meta name="generator" content="Nikola (getnikola.com)">
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<meta name="author" content="protoNN team">
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<meta property="og:description" content="Developing neural networks made easy">
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<meta property="article:published_time" content="2018-06-01T09:39:34Z">
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<body>
<a href="#content" class="sr-only sr-only-focusable">Skip to main content</a>
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<a href="#" class="nav-link">Development <span class="sr-only">(active)</span></a>
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<br><p>
<strong>protoNN</strong> is a fully open-source framework. All the development is happening at
<a href="https://github.com/protoNN-ai/protoNN"> https://github.com/protoNN-ai/protoNN</a>
</p>
<br><p>If there's an issue you'd like us to fix, or question not covered in the tutorial, please <a href="https://github.com/protoNN-ai/protoNN/issues">raise an issue on Github</a>.
</p>
<p>If you would like to collaborate and/or contribute some new functionality, <a href="mailto:[email protected]">get in touch</a>!
We like code that is <a href="https://www.datacamp.com/community/tutorials/pep8-tutorial-python-code">pep8-compliant</a> and comes with unit tests.</p>
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Contents © 2018 <a href="mailto:[email protected]">protoNN community</a>
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