apache mxnet

We have hosted the application apache mxnet in order to run this application in our online workstations with Wine or directly.

Quick description about apache mxnet:

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

Programming Language: Python.

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