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https://github.com/TuringLang/Bijectors.jl

Implementation of normalising flows and constrained random variable transformations
https://github.com/TuringLang/Bijectors.jl

bayesian-inference hacktoberfest mcmc-sampler transforms turing-language

Last synced: 9 days ago
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Implementation of normalising flows and constrained random variable transformations

Host: GitHub
URL: https://github.com/TuringLang/Bijectors.jl
Owner: TuringLang
License: mit
Created: 2018-09-13T16:01:43.000Z (about 6 years ago)
Default Branch: master
Last Pushed: 2024-10-29T17:13:50.000Z (10 days ago)
Last Synced: 2024-10-29T18:41:08.699Z (10 days ago)
Topics: bayesian-inference, hacktoberfest, mcmc-sampler, transforms, turing-language
Language: Julia
Homepage: https://turinglang.org/Bijectors.jl/
Size: 794 KB
Stars: 200
Watchers: 14
Forks: 33
Open Issues: 57
Metadata Files:
- Readme: README.md
- License: LICENSE

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awesome-sciml - TuringLang/Bijectors.jl: Implementation of normalising flows and constrained random variable transformations

README

        # Bijectors.jl

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://turinglang.github.io/Bijectors.jl/stable)

[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://turinglang.github.io/Bijectors.jl/dev)

[![Interface tests](https://github.com/TuringLang/Bijectors.jl/workflows/Interface%20tests/badge.svg?branch=master)](https://github.com/TuringLang/Bijectors.jl/actions?query=workflow%3A%22Interface+tests%22+branch%3Amaster)

[![AD tests](https://github.com/TuringLang/Bijectors.jl/workflows/AD%20tests/badge.svg?branch=master)](https://github.com/TuringLang/Bijectors.jl/actions?query=workflow%3A%22AD+tests%22+branch%3Amaster)

*A package for transforming distributions, used by [Turing.jl](https://github.com/TuringLang/Turing.jl).*

Bijectors.jl implements both an interface for transforming distributions from Distributions.jl and many transformations needed in this context. This package is used heavily in the probabilistic programing language Turing.jl.

See the [documentation](https://turinglang.github.io/Bijectors.jl) for more.

## Do you want to contribute?

If you feel you have some relevant skills and are interested in contributing, please get in touch! You can find us in the #turing channel on the [Julia Slack](https://julialang.org/slack/) or [Discourse](discourse.julialang.org). If you're having any problems, please open a Github issue, even if the problem seems small (like help figuring out an error message). Every issue you open helps us to improve the library!