Catalyst Team

<h1 style="text-align: center;">Catalyst</h1>
PyTorch framework for Deep Learning research and development. You get a training loop with metrics, model checkpointing, advanced logging and distributed training support without the boilerplate.
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Project 
<a href="https://github.com/catalyst-team/catalyst/blob/master/MANIFEST.md">manifest</a>. Part of <a href="https://pytorch.org/ecosystem/">PyTorch Ecosystem</a>. Part of <a href="https://docs.google.com/presentation/d/1D-yhVOg6OXzjo9K_-IS5vSHLPIUxp1PEkFGnpRcNCNU/edit?usp=sharing">Catalyst Ecosystem</a>:<br>
<ul>
	<li><a href="https://github.com/catalyst-team/alchemy">Alchemy</a> - Experiments logging &amp; visualization</li>
	<li><a href="https://github.com/catalyst-team/catalyst">Catalyst</a> - Accelerated deep learning R&amp;D</li>
	<li><a href="https://github.com/catalyst-team/reaction">Reaction</a> - Convenient models serving</li>
</ul>
<a href="https://landscape.lfai.foundation/selected=catalyst">Catalyst at AI Landscape</a>.&nbsp;<br>
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Catalyst&nbsp;
<a href="https://join.slack.com/t/catalyst-team-core/shared_invite/zt-d9miirnn-z86oKDzFMKlMG4fgFdZafw">slack channel</a>. Break the cycle - use the 
<a href="https://github.com/catalyst-team/catalyst">Catalyst</a>!<br>
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<h2><strong>Getting started</strong></h2>
<pre>pip install -U catalyst
</pre>
<img src="https://storage.yandexcloud.net/datasouls-ods/files/5e871d83/2006.code3.png">
<div style="text-align: center;">
	Catalyst pipeline example, with 30 lines of code you get model training, inference and tracing support.
</div>
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<a href="https://github.com/catalyst-team/catalyst#minimal-examples">More minimal examples here</a><br>
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<h2>Overview</h2>
<ul>
	<li>Catalyst is pure PyTorch framework without any custom modules.</li>
	<li>With Catalyst you get the same PyTorch pipelines but in much more readable and fully reproducible way.</li>
	<li>Catalyst is easily extendable with Runner and Callback abstractions.</li>
	<li><strong>You focus on key parts of your deep learning R&amp;D.</strong></li>
</ul>
<a href="https://github.com/catalyst-team/catalyst/tree/master/tests"><br>
Catalyst is rigorously tested
</a> and supports extra subpackages for <a href="https://github.com/catalyst-team/catalyst#installation">Computer Vision</a> and <a href="https://github.com/catalyst-team/catalyst#installation">Natural Language Processing</a>. <br>
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<a href="https://github.com/orgs/catalyst-team/people">Catalyst.Team</a> and <a href="https://github.com/catalyst-team/catalyst/graphs/contributors">Catalyst.Contributors</a> consist of industrial and academia researches, kaggle masters and professional software engineers. You can check out Catalyst-based kaggle competitions, pipelines and projects <a href="https://github.com/catalyst-team/catalyst#catalyst">here</a>.&nbsp;<br>
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<h2><strong></strong><div style="text-align: center;"><strong>More than a framework — Ecosystem</strong></div></h2>
<img src="https://storage.yandexcloud.net/datasouls-ods/files/76e76e07/2006.catalyst.ecosystem.png"><br><div style="text-align: center;">Combining human creativity with machine’s computational power</div>
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</strong></h3>
<h3><strong>Catalyst.Ecosystem manifesto</strong></h3>
Catalyst was designed by researchers for researchers,
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<ul>
	<li>to get the foundation for DL &amp; RL research, which would be well tested and verified</li>
	<li>to generalize and develop best practices that work with all DL areas</li>
	<li>to think less about tech-side and focus on research hypothesis and their value</li>
	<li>to accelerate your research</li>
</ul>
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Catalyst.Ecosystem,
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<ul>
	<li>combines research best practices and helps knowledge sharing</li>
	<li>connects DL/RL with Software Engineer for maximum performance</li>
	<li>allows quickly and efficiently validate your hypotheses</li>
</ul>
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Catalyst main principles,
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<ul>
	<li>open — it’s fully Open Source Ecosystem</li>
	<li>equivalently — everyone can contribute and propose new ideas</li>
	<li>expertise — we are gathering top deep learning knowledge into one place</li>
	<li>high-performance — we are developing the ecosystem with software engineering best practices</li>
</ul>
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<h3><strong>Open Source Research Community</strong></h3>
Last but not least, 
<a href="https://github.com/catalyst-team/catalyst#trusted-by">Catalyst.Friends</a> community connects different startups, companies and research labs all over the world. For example, Catalyst.Team is working with Translational Research in Neuroimaging and Data Science (<a href="http://trendscenter.org/">TReNDS</a>) on DL <a href="https://github.com/catalyst-team/neuro">brain image analysis</a>. Feel free to <a href="mailto:catalyst.team.core@gmail.com">write us</a>, if you are also interested in such collaborations.<br>
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