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<!DOCTYPE html>
<html dir="ltr" lang="en-US">
<head>
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
<meta name="modelhub.ai" content="A collection of deep learning models for medical data" />
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<div>Contribute</div>
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<div>Sponsors</div>
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<p class="lead_adj">deep learning models for</p>
<h1>
<span class="text-rotater nocolor" data-separator="|" data-rotate="fadeIn" data-speed="2000">
<span class="t-rotate t400 font-body ">radiology.|pathology.|autonomous vehicles.|genomics.|natural language.|dermatology.|mammography.|colonoscopy.|endoscopy.|electrocardiography.|ophthalmology.|pharmacology.</span>
</span>
</h1>
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<a href="http://app.modelhub.ai/" target="_blank" class="button button-border button-circle" data-easing="easeInOutExpo" data-speed="1250" data-offset="70">explore the model collection</a>
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<h2 class="divcenter bottommargin font-body" style="max-width: 700px; font-size: 40px;">
Empowering AI researchers to share fully reproducible and portable model implementations.
</h2>
<!-- Lowering the barriers to consuming published medical AI models by developing a generalizable sharing template for AI researchers. -->
<!-- We are building a collection of deep learning models for medical data. -->
<p class="lead divcenter bottommargin" style="max-width: 800px;">Crowdsourced through contributions by the scientific research community, modelhub is a repository of self-contained deep learning models pretrained for a wide variety of applications. Modelhub highlights recent trends in deep learning applications,
enables transfer learning approaches, and promotes reproducible science.</p>
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<span class="before-heading">Proven methods.</span>
<h4>Scientifically Tested</h4>
</div>
<p>All models are accompanied by peer-reviewed studies published in scientific journals.</p>
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<span class="before-heading">All inclusive.</span>
<h4>Data Agnostic</h4>
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<p>Find models for various types of data from 2D and 3D images to audio and video.</p>
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<span class="before-heading">Supports all numerical computing backends.</span>
<h4>Tool Agnostic</h4>
</div>
<p>Interchangeable models with pre-/post-processing pipelines and sample data.</p>
</div>
</div>
<div class="row topmargin-sm clearfix">
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<div class="heading-block nobottomborder" style="margin-bottom: 15px;">
<span class="before-heading">Statistical analysis across all models.</span>
<h4>Live Meta-analysis</h4>
</div>
<p>Explore the latest trends, styles, architectures and best practices.</p>
</div>
<div class="col-md-4 bottommargin">
<i class="i-plain color i-large icon-line-unlock inline-block" style="margin-bottom: 15px;"></i>
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<span class="before-heading">Open access models.</span>
<h4>Open-Source</h4>
</div>
<p>Download fully-documented <a target="_blank" href="https://modelhub.readthedocs.io/en/latest/quickstart.html">containers</a> for transfer learning and benchmarking.</p>
</div>
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<span class="before-heading">Community-sourced.</span>
<h4>Contribute today!</h4>
</div>
<p><a target="_blank" href="https://modelhub.readthedocs.io/en/latest/contribute.html">Contribute</a> your deep learning model today and retain full rights with the license of your choice.</p>
</div>
</div>
</div>
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<div id="section-works" class="page-section">
<h2 class="center uppercase t300 ls3 font-body">How it Works</h2>
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<div class="clear"></div>
<div class="col_full center">
<small style="display: block; font-size: 13px; margin-top: 15px;">Select models of the shelf and run them locally.</small>
<div class="clear"></div>
<a href="https://modelhub.readthedocs.io/en/latest/quickstart.html" target="_blank">
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<small style="display: block; font-size: 13px; margin-top: 15px;">Contribute your model to Modelhub.</small>
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<small style="display: block; font-size: 13px; margin-top: 15px;">Modelhub is proudly sponsored by</small>
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<small style="display: block; font-size: 13px; margin-top: 15px;">Send us an email.</small>
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Modelhub.ai is managed by the <a href="http://www.cibl-harvard.org/" class="more-link" target="_blank">Computational Imaging and Bioinformatics Lab</a> at the Harvard Medical School, Brigham & Women's Hospital and Dana-Farber Cancer Institute.
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