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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mxnet from gravatar.com mxnet Avatar for mxnet-bln from gravatar.com mxnet-bln Avatar for mxnet-ci from gravatar.com mxnet-ci

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache 2.0
Report project as malware

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

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mxnet from gravatar.com mxnet Avatar for mxnet-bln from gravatar.com mxnet-bln Avatar for mxnet-ci from gravatar.com mxnet-ci

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache 2.0

Release history Release notifications | RSS feed

2.0.0b1 pre-release

2.0.0a0 pre-release

1.9.1

1.9.0

1.8.0.post0

1.8.0

1.7.0.post2

1.7.0.post1

1.6.0

1.5.1.post0

1.5.1

1.5.0

1.4.1

1.4.0.post0

1.4.0

1.3.1

1.3.0.post0

1.3.0

1.2.1.post1

1.2.1.post0

1.2.1

1.2.0

1.1.0.post0

1.1.0

1.0.0.post4

1.0.0.post3

1.0.0.post2

1.0.0.post1

1.0.0.post0

1.0.0

0.12.1

0.12.0

0.11.0

0.10.0.post2

0.10.0

0.9.5.post2

0.9.5.post1

This version

0.9.5

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

mxnet-0.9.5-cp36-cp36m-manylinux1_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.6m

mxnet-0.9.5-cp36-cp36m-macosx_10_12_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.6mmacOS 10.12+ x86-64

mxnet-0.9.5-cp36-cp36m-macosx_10_11_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.6mmacOS 10.11+ x86-64

mxnet-0.9.5-cp35-cp35m-manylinux1_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.5m

mxnet-0.9.5-cp35-cp35m-macosx_10_12_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.5mmacOS 10.12+ x86-64

mxnet-0.9.5-cp35-cp35m-macosx_10_11_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.5mmacOS 10.11+ x86-64

mxnet-0.9.5-cp34-cp34m-manylinux1_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.4m

mxnet-0.9.5-cp34-cp34m-macosx_10_12_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.4mmacOS 10.12+ x86-64

mxnet-0.9.5-cp34-cp34m-macosx_10_11_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.4mmacOS 10.11+ x86-64

mxnet-0.9.5-cp27-cp27mu-manylinux1_x86_64.whl (8.7 MB view details)

Uploaded CPython 2.7mu

mxnet-0.9.5-cp27-cp27m-macosx_10_12_x86_64.whl (7.5 MB view details)

Uploaded CPython 2.7mmacOS 10.12+ x86-64

mxnet-0.9.5-cp27-cp27m-macosx_10_11_x86_64.whl (7.5 MB view details)

Uploaded CPython 2.7mmacOS 10.11+ x86-64

File details

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

File metadata

File hashes

Hashes for mxnet-0.9.5-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9b633f67bb768520e4dbd3ed8af4d947a6ee7a13d6189201aa08ee5cb03c5de2
MD5 35727e2fdbd2ebf5cd2b5f4620fc940e
BLAKE2b-256 be29945b400000bc7d21b75f78dacd0244e94e1a32e0e72ce265b742567115ec

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp36-cp36m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp36-cp36m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 22504cf7d7ef30ba4c613e7ab991ae8669148acc8cb5a4b2ad5b5db437e73f26
MD5 a20312e2e83f820a90047b7e9be1c75d
BLAKE2b-256 fa912a5f6bc0c3415e21f92700f94263b35da9f702c44cdf33a41f1ba5f0bf0b

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp36-cp36m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp36-cp36m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 279eb3b26b62182771b6fa75ebc56eee8b55a89803a91a56e52fa8e2b4f004ef
MD5 a4e8fb95eaafc3376dae8087a9b689cf
BLAKE2b-256 4ea0df7107ac5e7abb258aa8b8bc13d7269ecc1ae2e388de96c66429cb467214

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for mxnet-0.9.5-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1d14f70991042625ced77a42088155443df11befb3fb55214382d36e8b718703
MD5 1b17ba0f791f27cf9c3ceae81031b4ab
BLAKE2b-256 5aea7f4a862dfb669c14dd42ec991e1cde2ea13cfe9d86055015de23c1cfc596

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp35-cp35m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp35-cp35m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 1a5ccffe6062d8c51795fe1a3d70a125fdc48917d8d4d6b22427f37f4ee1b99b
MD5 f308203b89b38342eaecbea7db492f25
BLAKE2b-256 f91eb808df55a800715b4a87d69769c2957ea109ee68fc96711dfe685b1cc04b

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp35-cp35m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp35-cp35m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 14ccce7089e090d5fb050d6624032d231ca068faf05c4ce913172b2ee293d98f
MD5 962adfe35fe564f3a76048feacd96029
BLAKE2b-256 202ddec97faa0dedfe55e2054353b9863250af506f247087318007f5cbd5ab8d

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for mxnet-0.9.5-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1dda0bdb3997e53f097e9aec7495c8866823b9039c7c6b75bdb4748db085fc04
MD5 e2b73e23ef9bb0246c29a1a3603ffa60
BLAKE2b-256 f9b39bccaef126785f3810903cc56ca103c7059e8c5cb0d0cb134cc67fadd746

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp34-cp34m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp34-cp34m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 fd1ca8cbf46191d257d0b674dd6baca792f9dc4c7833047c9bc5028bdc840c45
MD5 a16ed7c159c6a137690401457f0fb8b8
BLAKE2b-256 e3ccf1fa9e175709f2f6a618e9622d85dcf0f9e927255df2c2a92800d5810de4

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp34-cp34m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp34-cp34m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 cb7a8b4af7f4e4550ccc2a560fa101fb1fbdece10451fadcc60821f5e5ee79d7
MD5 b15b8fcba0f9d0fd0c6a9daa6541891d
BLAKE2b-256 eb5160e8f402277d066976a4c208fd342f45a249f586861b6365a2631e0ea92b

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for mxnet-0.9.5-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bc3c964b94da2777afdb5db3854bed20b6c32d4cd9257345cea9c7b4bd04cd07
MD5 f845c49156452c65570021c9e31a7a8d
BLAKE2b-256 56793c1cdf3b738dca63245a31886b90501359aa5c4a333e38128c4ea66c8391

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp27-cp27m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp27-cp27m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ac465e7f3c34bda87b3ba5cdad9d944900f614a11937e1dd4ec02c9ce46787c6
MD5 987b98d30c1c01e3a3298932ff01529a
BLAKE2b-256 ad5d25f7c247eae56256463f10e434e93002d96b60a05f3b64909836065bda61

See more details on using hashes here.

File details

Details for the file mxnet-0.9.5-cp27-cp27m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for mxnet-0.9.5-cp27-cp27m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 2877679ca264ed3728674ad67bb7559a6783a3d112238f57266a5e85d59d7e2e
MD5 6423dcd4c2ccce7cc3f2c36f7df07afb
BLAKE2b-256 a2dd96df5576ba172f20548bbccb34c5025a3f53e3b5db92bf0398caf3ebac9e

See more details on using hashes here.

Supported by

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