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Title: GitHub - sbi-dev/sbi: sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Open Graph Title: GitHub - sbi-dev/sbi: sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

X Title: GitHub - sbi-dev/sbi: sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Description: sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered. - sbi-dev/sbi

Open Graph Description: sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has ...

X Description: sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has ...

Opengraph URL: https://github.com/sbi-dev/sbi

X: @github

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Deistler, M., Boelts, J., Steinbach, P., Moss, G., Moreau, T., Gloeckler, M., ... & Macke, J. H. (2025). Simulation-based inference: A practical guide. arXiv preprint arXiv:2508.12939.https://arxiv.org/abs/2508.12939
https://patch-diff.githubusercontent.com/sbi-dev/sbi#inference-algorithms
herehttps://sbi-dev.github.io/sbi/latest/tutorials/16_implemented_methods/
https://patch-diff.githubusercontent.com/sbi-dev/sbi#neural-posterior-estimation-amortized-npe-and-sequential-snpe
(S)NPE_Ahttps://sbi-dev.github.io/sbi/latest/reference/#sbi.inference.trainers.npe.npe_a.NPE_A
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimationhttps://proceedings.neurips.cc/paper/2016/hash/6aca97005c68f1206823815f66102863-Abstract.html
(S)NPE_Bhttps://sbi-dev.github.io/sbi/latest/reference/#sbi.inference.trainers.npe.npe_b.NPE_B
Flexible statistical inference for mechanistic models of neural dynamicshttps://arxiv.org/abs/1711.01861
(S)NPE_Chttps://sbi-dev.github.io/sbi/latest/reference/#sbi.inference.trainers.npe.npe_c.NPE_C
Automatic Posterior Transformation for likelihood-free inferencehttps://arxiv.org/abs/1905.07488
Truncated proposals for scalable and hassle-free simulation-based inferencehttps://arxiv.org/abs/2210.04815
FMPEhttps://sbi-dev.github.io/sbi/latest/reference/#sbi.inference.trainers.vfpe.fmpe.FMPE
Flow matching for scalable simulation-based inferencehttps://proceedings.neurips.cc/paper_files/paper/2023/hash/3663ae53ec078860bb0b9c6606e092a0-Abstract-Conference.html
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Compositional score modeling for simulation-based inferencehttps://proceedings.mlr.press/v202/geffner23a.html
https://patch-diff.githubusercontent.com/sbi-dev/sbi#neural-likelihood-estimation-amortized-nle-and-sequential-snle
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Sequential Neural Likelihoodhttps://arxiv.org/abs/1805.07226
https://patch-diff.githubusercontent.com/sbi-dev/sbi#neural-ratio-estimation-amortized-nre-and-sequential-snre
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Likelihood-free Inference with Amortized Approximate Likelihood Ratioshttps://arxiv.org/abs/1903.04057
(S)NRE_Bhttps://sbi-dev.github.io/sbi/latest/reference/#sbi.inference.trainers.nre.nre_b.NRE_B
On Contrastive Learning for Likelihood-free Inferencehttps://arxiv.org/abs/2002.03712
(S)NRE_Chttps://sbi-dev.github.io/sbi/latest/reference/#sbi.inference.trainers.nre.nre_c.NRE_C
Contrastive Neural Ratio Estimationhttps://arxiv.org/abs/2210.06170
BNREhttps://sbi-dev.github.io/sbi/latest/reference/#sbi.inference.trainers.nre.bnre.BNRE
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimationhttps://arxiv.org/abs/2208.13624
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Flexible and efficient simulation-based inference for models of decision-makinghttps://elifesciences.org/articles/77220
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https://github.com/famura
https://github.com/manuelgloeckler
https://github.com/alvorithm
https://github.com/gmoss13
https://github.com/abelaba
https://github.com/ppjgoncalves
https://github.com/tomMoral
https://github.com/ADelau
https://github.com/satwiksps
+ 74 contributorshttps://patch-diff.githubusercontent.com/sbi-dev/sbi/graphs/contributors
Python 100.0% https://patch-diff.githubusercontent.com/sbi-dev/sbi/search?l=python
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.