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

Jupyter Notebook Python Submitted 08 September 2025 • Published 23 January 2026
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Authors

Arvid Weyrauch (0000-0002-2684-0927), Lars H. Heyen (0000-0001-7949-1858), Juan Pedro Gutiérrez Hermosillo Muriedas (0000-0001-8439-7145), Pei-Hsuan Hsia (0009-0003-5440-4211), Asena Karolin Özdemir (0009-0003-2808-4744), Achim Streit (0000-0002-5065-469X), Markus Götz (0000-0002-2233-1041), Charlotte Debus (0000-0002-7156-2022)

Citation

Weyrauch et al., (2026). torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch. Journal of Open Source Software, 11(117), 9415, https://doi.org/10.21105/joss.09415

@article{Weyrauch2026, doi = {10.21105/joss.09415}, url = {https://doi.org/10.21105/joss.09415}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {117}, pages = {9415}, author = {Weyrauch, Arvid and Heyen, Lars H. and Muriedas, Juan Pedro Gutiérrez Hermosillo and Hsia, Pei-Hsuan and Özdemir, Asena Karolin and Streit, Achim and Götz, Markus and Debus, Charlotte}, title = {torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch}, journal = {Journal of Open Source Software} }
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Bayesian Neural Networks Variational Inference

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066