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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<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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Free

Using Catalyst everyday and want to thank the team for all the issues they solved with blood, sweat and tears? With the bronze bundle, you can virtually hug and support us. You are once again helping to encourage the development of the features you like<br>

Bronze

Beyond on time fixes, you are supporting the continued development of new advanced features and pipelines. Silver bundle gives us strength to implement engineering tricks with user-friendly API.

Silver

Truly interested in deep learning and reinforcement learning? Looking for more tutorials, examples and blogposts? With Gold bundle you help us to create a high quality explanations of complex deep learning stuff.