MXNet is an ultra-scalable deep learning framework. This version uses openblas.
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of deep learning programs together to maximize the efficiency and your productivity.
For feature requests on the PyPI package, suggestions, and issue reports, click here. Prerequisites ———— This package supports Linux, Mac OSX and Windows platforms. If you have GPU, you may want to check: mxnet-cu91, mxnet-cu91mkl, mxnet-cu90, mxnet-cu90mkl, mxnet-cu80 and mxnet-cu80mkl with CUDA-8.0 support, or mxnet-cu75 and mxnet-cu75mkl with CUDA-7.5 support. If you are using Linux without GPU, you may want to check mxnet-mkl with MKL support.
To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check Installing MXNet for instructions on building from source.
To install, use:
pip install mxnet
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|mxnet-1.2.0b20180518-cp27-cp27m-macosx_10_12_x86_64.whl (10.0 MB) Copy SHA256 hash SHA256||Wheel||cp27|
|mxnet-1.2.0b20180518-py2.py3-none-manylinux1_x86_64.whl (25.6 MB) Copy SHA256 hash SHA256||Wheel||py2.py3|