Apache MXNet is a scalable, efficient open-source deep learning framework—offering a flexible hybrid programming model (symbolic + imperative) and supporting a wide array of languages—designed for training and deploying neural networks across heterogeneous systems.

Features

  • Hybrid front-end: switch between symbolic and imperative programming
  • Automatic dynamic dependency scheduler for parallelism
  • Graph optimization for memory efficiency and speed
  • Broad language support: Python, C++, R, Julia, Java, JavaScript, Scala, Perl
  • Portable across devices—from mobile to distributed GPU systems
  • Active community, though archived and moved to read-only by November 2023

Project Samples

MXNet Screenshot 1

Project Activity

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Categories

Deep Learning Frameworks

License

Apache License V2.0

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MXNet Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Deep Learning Frameworks

Registered

1 day ago
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