This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

MXNet is an ultra-scalable deep learning framework. This version uses openblas.

Project Description

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.

Prerequisites

This package supports Linux and Mac OSX platforms. If you have GPU and are using Linux, you may want to check mxnet-cu80mkl and mxnet-cu80 with CUDA-8.0 support, or mxnet-cu75mkl and mxnet-cu75 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) or for general installation guide, check Build Instruction.

Installation

To install, use:

pip install mxnet
Release History

Release History

This version
History Node

0.10.0

History Node

0.9.5.post2

History Node

0.9.5.post1

History Node

0.9.5

History Node

0.9.4

History Node

0.9.3

History Node

0.9.3a3

History Node

0.9.3a1

History Node

0.9.3a0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
mxnet-0.10.0-py2.py3-none-any.whl (7.6 MB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 27, 2017
mxnet-0.10.0-py2.py3-none-manylinux1_x86_64.whl (8.8 MB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 26, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting