 | This article contains promotional content. (April 2020) |
| Developer(s) | Apache Software Foundation |
|---|---|
| Stable release | 1.9.1[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 |
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[2] and machines. It was co-developed by Carlos Guestrin at the University of Washington, along with GraphLab.[3]
As of September 2023, it is no longer actively developed.[4] Apache MXNet was effectively abandoned due to a combination of factors including lack of significant contributions, outdated builds, and a shift in focus by its major backer, Amazon, towards other frameworks like PyTorch. The project saw no new releases for over a year, and there were very few pull requests or updates from contributors, leading to its move to the Apache Attic in 2023. Additionally, the community began migrating to other frameworks that offered more robust support and development activity.[5]
- ^ "Release 1.9.1". 10 May 2022. Retrieved 30 June 2022.
- ^ "Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Server". Microsoft. 15 September 2016. Archived from the original on August 15, 2023. Retrieved 13 May 2017.
- ^ "Carlos Guestrin". guestrin.su.domains. Archived from the original on September 22, 2023.
- ^ "Apache MXNet - Apache Attic".
- ^ "Apache MXNet - Apache Attic". attic.apache.org. Retrieved 2024-06-05.