NeVer2 | A tool for learning and verification of neural networks

by NeVerTools Python Version: v1.0-alpha License: Non-SPDX

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

kandi X-RAY | NeVer2 Summary

NeVer2 is a Python library. NeVer2 has no bugs, it has no vulnerabilities, it has build file available and it has low support. However NeVer2 has a Non-SPDX License. You can download it from GitHub.

A tool for learning and verification of neural networks

Support

Quality

Security

License

Reuse

Support

NeVer2 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 12 months.

There are 7 open issues and 7 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NeVer2 is v1.0-alpha

Quality

NeVer2 has no bugs reported.

Security

NeVer2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

NeVer2 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

NeVer2 releases are available to install and integrate.

Build file is available. You can build the component from source.

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NeVer2 Key Features

No Key Features are available at this moment for NeVer2.

NeVer2 Examples and Code Snippets

No Code Snippets are available at this moment for NeVer2.

Community Discussions

No Community Discussions are available at this moment for NeVer2.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install NeVer2

You can download it from GitHub.
You can use NeVer2 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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