w-par | Wavefront Parallelization of Recurrent Neural Networks

by robinkumarsharma C Version: Current License: No License

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

kandi X-RAY | W-Par Summary

W-Par is a C library. W-Par has no bugs, it has no vulnerabilities and it has low support. You can download it from GitLab.

Wavefront Parallelization of Recurrent Neural Networks on Multi-core Architectures - ICS'2020

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Quality

Security

License

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Support

W-Par has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

W-Par has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of W-Par is current.

Quality

W-Par has no bugs reported.

Security

W-Par has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

W-Par 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

W-Par releases are not available. You will need to build from source code and install.

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

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W-Par Key Features

No Key Features are available at this moment for W-Par.

W-Par Examples and Code Snippets

No Code Snippets are available at this moment for W-Par.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install W-Par

You can download it from GitLab.

Support

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

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