CTR_NN | 基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

by HanXiaoyang Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | CTR_NN Summary

CTR_NN is a Jupyter Notebook library. CTR_NN has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

CTR prediction using Neural Network methods 基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）.

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Quality

Security

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Support

CTR_NN has a low active ecosystem.

It has 198 star(s) with 77 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CTR_NN is current.

Quality

CTR_NN has no bugs reported.

Security

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

License

CTR_NN 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

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

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CTR_NN Key Features

No Key Features are available at this moment for CTR_NN.

CTR_NN Examples and Code Snippets

No Code Snippets are available at this moment for CTR_NN.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install CTR_NN

You can download it from GitHub.

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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