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A truly open source deep learning framework suited for flexible research prototyping and production.

Hybrid Front-End

A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed.

Distributed Training

Scalable distributed training and performance optimization in research and production is enabled by the dual Parameter Server and Horovod support.

8 Language Bindings

Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl.

Tools & Libraries

A thriving ecosystem of tools and libraries extends MXNet and enable use-cases in computer vision, NLP, time series and more.



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