torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch - Published in JOSS (2026)

https://github.com/rai-scc/torch_bayesian

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic links in README
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  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 5 months ago · JSON representation

JOSS Publication

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch
Published
January 23, 2026
Volume 11, Issue 117, Page 9415
Authors
Arvid Weyrauch ORCID
Karlsruhe Institute of Technology, Germany
Lars H. Heyen ORCID
Karlsruhe Institute of Technology, Germany
Juan Pedro Gutiérrez Hermosillo Muriedas ORCID
Karlsruhe Institute of Technology, Germany
Pei-Hsuan Hsia ORCID
Karlsruhe Institute of Technology, Germany
Asena Karolin Özdemir ORCID
Karlsruhe Institute of Technology, Germany
Achim Streit ORCID
Karlsruhe Institute of Technology, Germany
Markus Götz ORCID
Karlsruhe Institute of Technology, Germany, Helmholtz AI
Charlotte Debus ORCID
Karlsruhe Institute of Technology, Germany
Editor
Tristan Miller ORCID
Tags
Bayesian Neural Networks Variational Inference

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 4
  • Total pull requests: 5
  • Average time to close issues: 9 months
  • Average time to close pull requests: 11 days
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: 11 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ArvidWeyrauch (3)
  • Lars-Heyen (1)
Pull Request Authors
  • ArvidWeyrauch (5)
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