Skip to main content

MXNet is an ultra-scalable deep learning framework. This version uses CUDA-7.5.

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 platform only, and requires CUDA-7.5 for GPU acceleration. Also checkout other versions: mxnet-cu75mkl, mxnet-cu80mkl, and mxnet-cu80.

To download, check CUDA download. For more instructions, check CUDA Toolkit online documentation.

To install for other platforms (e.g. Windows) or other versions of CUDA, check Build Instruction.

Installation

To install:

pip install mxnet-cu75

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

mxnet_cu75-0.9.5-cp36-cp36m-manylinux1_x86_64.whl (109.0 MB view details)

Uploaded CPython 3.6m

mxnet_cu75-0.9.5-cp35-cp35m-manylinux1_x86_64.whl (109.0 MB view details)

Uploaded CPython 3.5m

mxnet_cu75-0.9.5-cp34-cp34m-manylinux1_x86_64.whl (109.0 MB view details)

Uploaded CPython 3.4m

mxnet_cu75-0.9.5-cp27-cp27mu-manylinux1_x86_64.whl (109.0 MB view details)

Uploaded CPython 2.7mu

File details

Details for the file mxnet_cu75-0.9.5-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mxnet_cu75-0.9.5-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 96eb81fd33833299ecebdf7ce2ec8cec5067def97a70653531fa1b791976f504
MD5 83ec12db7fc0dec7ca8934e59a6f9ad6
BLAKE2b-256 498b482a2a031322a5bf64b51b07839b1549731a69a171892d82f5f7427d7a52

See more details on using hashes here.

File details

Details for the file mxnet_cu75-0.9.5-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mxnet_cu75-0.9.5-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3b250e35bceb9d8c36e052f8af7db5114bc6a9cdfe1c760ac176b96bdfc1a534
MD5 bf45cbf62d1fa9458f4540b2e224ff8a
BLAKE2b-256 c86d8cf2ccdec996aa5fa74d00bf7b9f90aea35c8d5b0f6c06576e2dacd64ddd

See more details on using hashes here.

File details

Details for the file mxnet_cu75-0.9.5-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mxnet_cu75-0.9.5-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f0893ecf8c29b84eecac260d8fc60bea28cfac6ca72dcc263dce9ec7cb94a3b8
MD5 aa0ad3ccac5e7bc421ef0ea466ac8d70
BLAKE2b-256 530ddc3801b8c5e8bedf4ee35b1149d35a10f939f78085aefef96585adad71a7

See more details on using hashes here.

File details

Details for the file mxnet_cu75-0.9.5-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mxnet_cu75-0.9.5-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c70c3a65bab1fe33daf1c108ececf2bb9cab716718da7f9f5e511f539f9f234f
MD5 9f2b35c339254ef24221107eceb8e1ee
BLAKE2b-256 b9e130b926308ac7639922a7bee4e899d7540616f169bab133259338ace0c9b4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page