- To Mix and Maximize
- Mix all flavors of programming models to maximize flexiblity and efficiency.
- Lightweight and scalable
- Minimum build dependency, scales to multi-GPU and ready toward distributed.
- Auto parallelization
- Write numpy-style ndarray GPU programs, which will be automatically parallelized.
- Language agnostic
- With support for python, c++, more to come.
- Cloud friendly
- Directly load/save from S3, HDFS, AZure
- Easy extensibility
- Extending no requirement on GPU programming.
- For reporting bugs please use the mxnet/issues page.
Contributing to MXNet
MXNet has been developed and used by a group of active community members. Everyone is more than welcome to contribute. It is a way to make the project better and more accessible to more users.
- Please add your name to CONTRIBUTORS.md after your patch has been merged.
© Contributors, 2015. Licensed under an Apache-2.0 license.