tensorflow_project

by EddyGao Python Version: Current License: No License

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kandi X-RAY | tensorflow_project Summary

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

tensorflow_project

Support

Quality

Security

License

Reuse

Support

tensorflow_project 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_project has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow_project is current.

Quality

tensorflow_project has no bugs reported.

Security

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

License

tensorflow_project 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

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

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

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tensorflow_project Key Features

No Key Features are available at this moment for tensorflow_project.

tensorflow_project Examples and Code Snippets

No Code Snippets are available at this moment for tensorflow_project.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow_project

You can download it from GitHub.
You can use tensorflow_project 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

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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