Apache MXNet is an ultra-scalable deep learning framework. This version uses openblas and MKLDNN.
Apache 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.
This package supports Linux, Mac OSX, and Windows platforms. You may also want to check:
To use this package on Linux you need the libquadmath.so.0 shared library. On
Debian based systems, including Ubuntu, run sudo apt install libquadmath0 to
install the shared library. On RHEL based systems, including CentOS, run sudo yum install libquadmath to install the shared library. As libquadmath.so.0 is
a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
redistribute libquadmath.so.0 as part of the Pypi package and users must
manually install it.
To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check Installing MXNet for instructions on building from source.
To install, use:
pip install mxnet
FAQs
Apache MXNet is an ultra-scalable deep learning framework. This version uses openblas and MKLDNN.
We found that mxnet 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.
Research
Four npm packages disguised as cryptographic tools steal developer credentials and send them to attacker-controlled Telegram infrastructure.
Security News
Ruby maintainers from Bundler and rbenv teams are building rv to bring Python uv's speed and unified tooling approach to Ruby development.
Security News
Following last week’s supply chain attack, Nx published findings on the GitHub Actions exploit and moved npm publishing to Trusted Publishers.