Credits¶

Community and Contributions¶

sbi is a community-driven package. We are grateful to all our contributors who have played a significant role in shaping sbi. Their valuable input, suggestions, and direct contributions to the codebase have been instrumental in the development of sbi.

License¶

sbi is licensed under the Apache License (Apache-2.0) and

Copyright (C) 2020 Álvaro Tejero-Cantero, Jakob H. Macke, Jan-Matthis Lückmann, Michael Deistler, Jan F. Bölts.

Copyright (C) 2020 Conor M. Durkan.

All contributors hold the copyright of their specific contributions.

Support¶

sbi has been supported by the German Federal Ministry of Education and Research (BMBF) through project ADIMEM (FKZ 01IS18052 A-D), project SiMaLeSAM (FKZ 01IS21055A) and the Tübingen AI Center (FKZ 01IS18039A). Since 2024, sbi has been supported by the appliedAI Institute for Europe gGmbH.

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Important dependencies and prior art¶

sbi is the successor to delfi, a Theano-based toolbox for sequential neural posterior estimation developed at mackelab.If you were using delfi, we strongly recommend moving your inference over to sbi. Please open issues if you find unexpected behavior or missing features. We will consider these bugs and give them priority.
sbi as a PyTorch-based toolbox started as a fork of conormdurkan/lfi, by Conor M.Durkan.
sbi uses PyTorch and tries to align with the interfaces (e.g. for probability distributions) adopted by PyTorch.
See README.md for a list of publications describing the methods implemented in sbi.