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Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
Features
- Design notes providing useful insights that can re-used by other DL projects
- Flexible configuration for arbitrary computation graph
- Mix and match imperative and symbolic programming to maximize flexibility and efficiency
- Lightweight, memory efficient and portable to smart devices
- Scales up to multi GPUs and distributed setting with auto parallelism
- Support for Python, Scala, C++, Java, Clojure, R, Go, Javascript, Perl, Matlab, and Julia
- Cloud-friendly and directly compatible with AWS S3, AWS Deep Learning AMI, AWS SageMaker, HDFS, and Azure
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License
Apache License V2.0Other Useful Business Software
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