ml_docker | Docker Image for some popular DL Frameworks

by kshitiz38 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | ml_docker Summary

ml_docker is a Python library. ml_docker has no bugs, it has no vulnerabilities and it has low support. However ml_docker build file is not available. You can download it from GitHub.

The Dockerfiles with cpu and gpu build contains Tensorflow, Caffe, Keras and Theano libraries along with OpenCV and popular python libraries. The CPU version should work on Linux, Windows and OS X. The GPU version will, however, only work on Linux machines. See OS support for details.

Support

Quality

Security

License

Reuse

Support

ml_docker has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

ml_docker has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ml_docker is current.

Quality

ml_docker has no bugs reported.

Security

ml_docker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ml_docker does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ml_docker releases are not available. You will need to build from source code and install.

ml_docker has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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ml_docker Key Features

No Key Features are available at this moment for ml_docker.

ml_docker Examples and Code Snippets

No Code Snippets are available at this moment for ml_docker.

Community Discussions

No Community Discussions are available at this moment for ml_docker.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ml_docker

You can download it from GitHub.
You can use ml_docker like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Docker is supported on all the OSes mentioned here: Install Docker Engine (i.e. different flavors of Linux, Windows and OS X). The CPU version will run on all the above operating systems. However, the GPU version will only run on Linux OS. This is because Docker runs inside a virtual machine on Windows and OS X. Virtual machines don't have direct access to the GPU on the host. Unless PCI passthrough is implemented for these hosts, GPU support isn't available on non-Linux OSes at the moment.

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