544nlp | USC : CSCI-544 Natural Language Processing

by nbir Python Version: Current License: No License

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

kandi X-RAY | 544nlp Summary

544nlp is a Python library. 544nlp has no bugs, it has no vulnerabilities and it has low support. However 544nlp build file is not available. You can download it from GitHub.

USC: CSCI-544 Natural Language Processing (Kozareva) assignments & project

Support

Quality

Security

License

Reuse

Support

544nlp 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.

544nlp has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 544nlp is current.

Quality

544nlp has no bugs reported.

Security

544nlp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

544nlp 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

544nlp releases are not available. You will need to build from source code and install.

544nlp has no build file. You will be need to create the build yourself to build the component from source.

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544nlp Key Features

No Key Features are available at this moment for 544nlp.

544nlp Examples and Code Snippets

No Code Snippets are available at this moment for 544nlp.

Community Discussions

No Community Discussions are available at this moment for 544nlp.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install 544nlp

You can download it from GitHub.
You can use 544nlp 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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