RITA | autoregressive protein models , developed by LightOn

by lightonai Python Version: Current License: MIT

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

kandi X-RAY | RITA Summary

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

RITA is a family of autoregressive protein models, developed by a collaboration of Lighton, the OATML group at Oxford, and the Debbie Marks Lab at Harvard.

Support

Quality

Security

License

Reuse

Support

RITA has a low active ecosystem.

It has 69 star(s) with 7 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 7 have been closed. On average issues are closed in 17 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RITA is current.

Quality

RITA has no bugs reported.

Security

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

License

RITA is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

RITA 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.

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RITA Key Features

No Key Features are available at this moment for RITA.

RITA Examples and Code Snippets

No Code Snippets are available at this moment for RITA.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install RITA

You can download it from GitHub.
You can use RITA 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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