nsn | Pytorch implementation of Network with Sub-Networks

by ninfueng Python Version: Current License: MIT

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

kandi X-RAY | nsn Summary

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

Pytorch implementation of Network with Sub-Networks.

Support

Quality

Security

License

Reuse

Support

nsn 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.

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

It has a neutral sentiment in the developer community.

The latest version of nsn is current.

Quality

nsn has no bugs reported.

Security

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

License

nsn is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

nsn 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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nsn Key Features

No Key Features are available at this moment for nsn.

nsn Examples and Code Snippets

No Code Snippets are available at this moment for nsn.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install nsn

You can download it from GitHub.
You can use nsn 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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