tensorflow_dev | base repo for tensorflow dev

by scottgs Python Version: Current License: GPL-3.0

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

kandi X-RAY | tensorflow_dev Summary

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

base repo for tensorflow dev

Support

Quality

Security

License

Reuse

Support

tensorflow_dev 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.

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

It has a neutral sentiment in the developer community.

The latest version of tensorflow_dev is current.

Quality

tensorflow_dev has no bugs reported.

Security

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

License

tensorflow_dev is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

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

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tensorflow_dev Key Features

No Key Features are available at this moment for tensorflow_dev.

tensorflow_dev Examples and Code Snippets

No Code Snippets are available at this moment for tensorflow_dev.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow_dev

Clone the repo
Activate the virtual environment as seen here - this is in the tensorflow_venv folder http://docs.python-guide.org/en/latest/dev/virtualenvs/
Run the basic example in tensorflow_cgi to ensure the environment is setup correctly.
Star writing your own code!

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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