MXNet
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both...
Cost / License
- Free
- Open Source
Platforms
- Mac
- Windows
- Linux
Features
Tags
- development
- Machine Learning
- deep-learning
- Python
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MXNet information
Developed by
Apache Software Foundation Licensing
Open Source (Apache-2.0) and Free product.Written in
Alternatives
15 alternatives listedSupported Languages
- English
AlternativeTo Category
DevelopmentGitHub repository
- 20,825 Stars
- 6,747 Forks
- 2008 Open Issues
- Updated (Archived)
What is MXNet?
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.