MXNet - Julia API

See the MXNet Julia Site for examples and API reference docs.

MXNet supports the Julia programming language. The MXNet Julia package brings flexible and efficient GPU computing and the state-of-art deep learning to Julia.

  • It enables you to write seamless tensor/matrix computation with multiple GPUs in Julia.
  • It also enables you to construct and customize the state-of-art deep learning models in Julia, and apply them to tasks such as image classification and data science challenges.

Installation

Docs

To build your own copy of the MXNet Julia Site, run make -C julia/docs from the MXNet source root directory. You can also generate it with Docker by using dev_menu.py from the root directory and choosing to build the entire website. The Julia site will be located in api/julia/site/.

Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

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