variational_biases_bnn | Biases in Variational Bayesian Neural Networks

by thangbui Python Version: Current License: No License

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kandi X-RAY | variational_biases_bnn Summary

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

This repo contains some sample code to run AIS and MFVI on simple Bayesian neural networks.

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Support

variational_biases_bnn has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 2 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 variational_biases_bnn is current.

Quality

variational_biases_bnn has no bugs reported.

Security

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

License

variational_biases_bnn 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.

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

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

Installation instructions, examples and code snippets are available.

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variational_biases_bnn Key Features

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variational_biases_bnn Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install variational_biases_bnn

The AIS implementation is largely based on Xuechen Li's BDMC package. We first checkout this package in third:. This also requires numpy, matplotlib, pytorch and tqdm. These can be installed by using e.g.

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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