What is Apache MXNet?

Apache MXNet is a flexible and efficient open-source deep learning framework designed for both research prototyping and production. It supports a wide range of tasks, including computer vision, NLP, and time series modeling, and is known for its adaptability and scalability.

Top Features

• Hybrid Front-End: Seamlessly transitions between Gluon eager imperative mode and symbolic mode for flexibility and speed.
  
• Distributed Training: Enables scalable distributed training with dual Parameter Server and Horovod support.
  
• 8 Language Bindings: Deep integration with Python and support for Scala, Julia, Clojure, Java, C++, R, and Perl.
  
• Tools & Libraries: A rich ecosystem of tools and libraries for computer vision, NLP, time series, and more.
  

Pricing

Apache MXNet is an open-source project under the Apache Software Foundation License, making it free to use for both personal and commercial purposes.

FAQs

• Is Apache MXNet still active?
  The project has retired. For more details, refer to its Attic page.
  
• What languages does MXNet support?
  MXNet supports Python, Scala, Julia, Clojure, Java, C++, R, and Perl.
  
• How can I contribute to MXNet?
  Contributions can be made via GitHub, mailing lists, or the developer wiki.
  
• Where can I find community support?
  Join discussions on GitHub, the Discuss Forum, or Slack by requesting access via [email protected].