Differentially-Private-Text-Representations | 20 paper Towards Differentially Private Text

by lingjuanlv Python Version: Current License: No License

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kandi X-RAY | Differentially-Private-Text-Representations Summary

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

Code for SIGIR'20 paper "Towards Differentially Private Text Representations".

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Support

Differentially-Private-Text-Representations has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 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 Differentially-Private-Text-Representations is current.

Quality

Differentially-Private-Text-Representations has no bugs reported.

Security

Differentially-Private-Text-Representations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Differentially-Private-Text-Representations 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

Differentially-Private-Text-Representations releases are not available. You will need to build from source code and install.

Differentially-Private-Text-Representations 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.

Top functions reviewed by kandi - BETA

kandi has reviewed Differentially-Private-Text-Representations and discovered the below as its top functions. This is intended to give you an instant insight into Differentially-Private-Text-Representations implemented functionality, and help decide if they suit your requirements.

Blurb the embeddings
Convert float to binary
Flip an arbitrary number
Create an embedding matrix

Get all kandi verified functions for this library.

Differentially-Private-Text-Representations Key Features

No Key Features are available at this moment for Differentially-Private-Text-Representations.

Differentially-Private-Text-Representations Examples and Code Snippets

No Code Snippets are available at this moment for Differentially-Private-Text-Representations.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install Differentially-Private-Text-Representations

You can download it from GitHub.
You can use Differentially-Private-Text-Representations 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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