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 notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size mxnet-0.9.5-cp27-cp27m-macosx_10_11_x86_64.whl (7.5 MB) | File type Wheel | Python version cp27 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp27-cp27m-macosx_10_12_x86_64.whl (7.5 MB) | File type Wheel | Python version cp27 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp27-cp27mu-manylinux1_x86_64.whl (8.7 MB) | File type Wheel | Python version cp27 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp34-cp34m-macosx_10_11_x86_64.whl (7.5 MB) | File type Wheel | Python version cp34 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp34-cp34m-macosx_10_12_x86_64.whl (7.5 MB) | File type Wheel | Python version cp34 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp34-cp34m-manylinux1_x86_64.whl (8.7 MB) | File type Wheel | Python version cp34 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp35-cp35m-macosx_10_11_x86_64.whl (7.5 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp35-cp35m-macosx_10_12_x86_64.whl (7.5 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp35-cp35m-manylinux1_x86_64.whl (8.7 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp36-cp36m-macosx_10_11_x86_64.whl (7.5 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp36-cp36m-macosx_10_12_x86_64.whl (7.5 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size mxnet-0.9.5-cp36-cp36m-manylinux1_x86_64.whl (8.7 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
Close
Hashes for mxnet-0.9.5-cp27-cp27m-macosx_10_11_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2877679ca264ed3728674ad67bb7559a6783a3d112238f57266a5e85d59d7e2e |
|
| MD5 | 6423dcd4c2ccce7cc3f2c36f7df07afb |
|
| BLAKE2-256 | a2dd96df5576ba172f20548bbccb34c5025a3f53e3b5db92bf0398caf3ebac9e |
Close
Hashes for mxnet-0.9.5-cp27-cp27m-macosx_10_12_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ac465e7f3c34bda87b3ba5cdad9d944900f614a11937e1dd4ec02c9ce46787c6 |
|
| MD5 | 987b98d30c1c01e3a3298932ff01529a |
|
| BLAKE2-256 | ad5d25f7c247eae56256463f10e434e93002d96b60a05f3b64909836065bda61 |
Close
Hashes for mxnet-0.9.5-cp27-cp27mu-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bc3c964b94da2777afdb5db3854bed20b6c32d4cd9257345cea9c7b4bd04cd07 |
|
| MD5 | f845c49156452c65570021c9e31a7a8d |
|
| BLAKE2-256 | 56793c1cdf3b738dca63245a31886b90501359aa5c4a333e38128c4ea66c8391 |
Close
Hashes for mxnet-0.9.5-cp34-cp34m-macosx_10_11_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cb7a8b4af7f4e4550ccc2a560fa101fb1fbdece10451fadcc60821f5e5ee79d7 |
|
| MD5 | b15b8fcba0f9d0fd0c6a9daa6541891d |
|
| BLAKE2-256 | eb5160e8f402277d066976a4c208fd342f45a249f586861b6365a2631e0ea92b |
Close
Hashes for mxnet-0.9.5-cp34-cp34m-macosx_10_12_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fd1ca8cbf46191d257d0b674dd6baca792f9dc4c7833047c9bc5028bdc840c45 |
|
| MD5 | a16ed7c159c6a137690401457f0fb8b8 |
|
| BLAKE2-256 | e3ccf1fa9e175709f2f6a618e9622d85dcf0f9e927255df2c2a92800d5810de4 |
Close
Hashes for mxnet-0.9.5-cp34-cp34m-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1dda0bdb3997e53f097e9aec7495c8866823b9039c7c6b75bdb4748db085fc04 |
|
| MD5 | e2b73e23ef9bb0246c29a1a3603ffa60 |
|
| BLAKE2-256 | f9b39bccaef126785f3810903cc56ca103c7059e8c5cb0d0cb134cc67fadd746 |
Close
Hashes for mxnet-0.9.5-cp35-cp35m-macosx_10_11_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 14ccce7089e090d5fb050d6624032d231ca068faf05c4ce913172b2ee293d98f |
|
| MD5 | 962adfe35fe564f3a76048feacd96029 |
|
| BLAKE2-256 | 202ddec97faa0dedfe55e2054353b9863250af506f247087318007f5cbd5ab8d |
Close
Hashes for mxnet-0.9.5-cp35-cp35m-macosx_10_12_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1a5ccffe6062d8c51795fe1a3d70a125fdc48917d8d4d6b22427f37f4ee1b99b |
|
| MD5 | f308203b89b38342eaecbea7db492f25 |
|
| BLAKE2-256 | f91eb808df55a800715b4a87d69769c2957ea109ee68fc96711dfe685b1cc04b |
Close
Hashes for mxnet-0.9.5-cp35-cp35m-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1d14f70991042625ced77a42088155443df11befb3fb55214382d36e8b718703 |
|
| MD5 | 1b17ba0f791f27cf9c3ceae81031b4ab |
|
| BLAKE2-256 | 5aea7f4a862dfb669c14dd42ec991e1cde2ea13cfe9d86055015de23c1cfc596 |
Close
Hashes for mxnet-0.9.5-cp36-cp36m-macosx_10_11_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 279eb3b26b62182771b6fa75ebc56eee8b55a89803a91a56e52fa8e2b4f004ef |
|
| MD5 | a4e8fb95eaafc3376dae8087a9b689cf |
|
| BLAKE2-256 | 4ea0df7107ac5e7abb258aa8b8bc13d7269ecc1ae2e388de96c66429cb467214 |
Close
Hashes for mxnet-0.9.5-cp36-cp36m-macosx_10_12_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 22504cf7d7ef30ba4c613e7ab991ae8669148acc8cb5a4b2ad5b5db437e73f26 |
|
| MD5 | a20312e2e83f820a90047b7e9be1c75d |
|
| BLAKE2-256 | fa912a5f6bc0c3415e21f92700f94263b35da9f702c44cdf33a41f1ba5f0bf0b |
Close
Hashes for mxnet-0.9.5-cp36-cp36m-manylinux1_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9b633f67bb768520e4dbd3ed8af4d947a6ee7a13d6189201aa08ee5cb03c5de2 |
|
| MD5 | 35727e2fdbd2ebf5cd2b5f4620fc940e |
|
| BLAKE2-256 | be29945b400000bc7d21b75f78dacd0244e94e1a32e0e72ce265b742567115ec |
