Apache MXNet <http://beta.mxnet.io>__ 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, create an issue by clicking
here <https://github.com/apache/incubator-mxnet/issues/new>__.
This package supports Linux only. You may also want to check: -
mxnet-cu101 <https://pypi.python.org/pypi/mxnet-cu101mkl/>__ with
CUDA-10.1 support. -
mxnet-cu101mkl <https://pypi.python.org/pypi/mxnet-cu101mkl/>__ with
CUDA-10.1 support and MKLDNN support. -
mxnet-cu100 <https://pypi.python.org/pypi/mxnet-cu100mkl/>__ with
CUDA-10.0 support. -
mxnet-cu100mkl <https://pypi.python.org/pypi/mxnet-cu100mkl/>__ with
CUDA-10.0 support and MKLDNN support. -
mxnet-cu92 <https://pypi.python.org/pypi/mxnet-cu92/>__ with CUDA-9.2
support. -
mxnet-cu92mkl <https://pypi.python.org/pypi/mxnet-cu92mkl/>__ with
CUDA-9.2 support and MKLDNN support. -
mxnet-cu90 <https://pypi.python.org/pypi/mxnet-cu90/>__ with CUDA-9.0
support. -
mxnet-cu90mkl <https://pypi.python.org/pypi/mxnet-cu90mkl/>__ with
CUDA-9.0 support and MKLDNN support. -
mxnet-cu80 <https://pypi.python.org/pypi/mxnet-cu80/>__ with CUDA-8.0
support. -
mxnet-cu80mkl <https://pypi.python.org/pypi/mxnet-cu80mkl/>__ with
CUDA-8.0 support and MKLDNN support. -
mxnet-cu75 <https://pypi.python.org/pypi/mxnet-cu75/>__ with CUDA-7.5
support. -
mxnet-cu75mkl <https://pypi.python.org/pypi/mxnet-cu75mkl/>__ with
CUDA-7.5 support and MKLDNN support. -
mxnet <https://pypi.python.org/pypi/mxnet/>__.
To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other
versions, check Installing MXNet <https://mxnet.apache.org/versions/master/install/index.html>__
for instructions on building from source.
To install:
.. code:: bash
pip install mxnet-mkl
FAQs
MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN.
We found that mxnet-mkl demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.