An efficient, flexible distributed framework for deep learning
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README.md

MXNet

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Contents

Features

  • To Mix and Maximize
    • Mix all flavors of programming models to maximize flexiblity and efficiency.
  • Lightweight and scalable
    • Minimum build dependency, scales to multi-GPU and ready toward distributed.
  • Auto parallelization
    • Write numpy-style ndarray GPU programs, which will be automatically parallelized.
  • Language agnostic
    • With support for python, c++, more to come.
  • Cloud friendly
    • Directly load/save from S3, HDFS, AZure
  • Easy extensibility
    • Extending no requirement on GPU programming.

Bug Reporting

Contributing to MXNet

MXNet has been developed and used by a group of active community members. Everyone is more than welcome to contribute. It is a way to make the project better and more accessible to more users.

  • Please add your name to CONTRIBUTORS.md after your patch has been merged.

License

© Contributors, 2015. Licensed under an Apache-2.0 license.