EB_GFN | Generative Flow Networks for Discrete Probabilistic Modeling

by GFNOrg Python Version: Current License: MIT

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

kandi X-RAY | EB_GFN Summary

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

Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"

Support

Quality

Security

License

Reuse

Support

EB_GFN has a low active ecosystem.

It has 60 star(s) with 17 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 104 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EB_GFN is current.

Quality

EB_GFN has no bugs reported.

Security

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

License

EB_GFN 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

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

EB_GFN 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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EB_GFN Key Features

No Key Features are available at this moment for EB_GFN.

EB_GFN Examples and Code Snippets

No Code Snippets are available at this moment for EB_GFN.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install EB_GFN

You can download it from GitHub.
You can use EB_GFN 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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