Apache MXNet
Apache MXNet is an open-source deep learning software framework that trains and deploys deep neural networks. It aims to be scalable, allows fast model training, and supports a flexible programming model and multiple programming languages (including C++, Python, Java, Julia, MATLAB, JavaScript, Go, R, Scala, Perl, and Wolfram Language). The MXNet library is portable and can scale to multiple GPUs and machines. It was co-developed by Carlos Guestrin at the University of Washington, along with GraphLab.
| Developer(s) | Apache Software Foundation |
|---|---|
| Stable release | 1.9.1
/ 10 May 2022 |
| Repository | |
| Written in | C++, Python, R, Java, Julia, JavaScript, Scala, Go, Perl |
| Operating system | Windows, macOS, Linux |
| Type | Library for machine learning and deep learning |
| License | Apache License 2.0 |
| Website | mxnet |
As of September 2023, it is no longer actively developed.
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