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<h1 style="margin-bottom:40px;"> A FLEXIBLE AND EFFICIENT<br> <span
style="margin-left:100px"> LIBRARY FOR DEEP LEARNING</span>
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<p style="margin-bottom:40px;">A truly open source deep learning framework suited<br>for flexible research
prototyping and
production.</p>
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<h3>Hybrid Front-End</h3>
<p>A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed.</p>
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<p>Scalable distributed training and performance optimization in research and production is enabled by the dual Parameter Server and Horovod support.</p>
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<h3>8 Language Bindings</h3>
<p>Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl.</p>
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<h3>Tools &amp; Libraries</h3>
<p>A thriving ecosystem of tools and libraries extends MXNet and enable use-cases in computer vision, NLP, time series and more.</p>
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<p class="card-summary">An interactive deep learning book with code, math, and discussions. Used at Berkeley, University of Washington and more.</p>
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<p class="card-summary">GluonCV is a computer vision toolkit with rich model zoo. From object detection to pose estimation.</p>
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<p class="card-summary">GluonNLP provides state-of-the-art deep learning models in NLP. For engineers and researchers to fast prototype research ideas and products.</p>
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<p class="card-summary">Gluon Time Series (GluonTS) is the Gluon toolkit for probabilistic time series modeling, focusing on deep learning-based models.</p>
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