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sbi - Simulation-based inference

@sbi-devs.bsky.social

1.4K followers 35 following 35 posts

Community-maintained simulation-based inference (SBI) toolkit in PyTorch: • NPE, NLE & NRE • amortized and sequential inference • wide range of diagnostics Posts written by @deismic.bsky.social & @janboelts.bsky.social. 🔗 github.com/sbi-dev/sbi

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sbi - Simulation-based inference @sbi-devs.bsky.social · 12/05/2025

Great news! Our March SBI hackathon in Tübingen was a huge success, with 40+ participants (30 onsite!). Expect significant updates soon: awesome new features & a revamped documentation you'll love! Huge thanks to our amazing SBI community! Release details coming soon. 🥁 🎉

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sbi - Simulation-based inference @sbi-devs.bsky.social · 27/11/2024

For all steps of the inference process, the sbi toolbox supports strong defaults if needed, but also provides full flexibility if desired. For example, you can use a pre-configured training loop, or you can write it yourself.

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sbi - Simulation-based inference @sbi-devs.bsky.social · 27/11/2024

The sbi toolbox implements a wide range of simulation-based inference methods. It implements NPE, NLE, and NRE (all amortized or sequential), modern neural networks (flows, flow-matching, diffusion models), samplers, and diagnostic tools.

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sbi - Simulation-based inference @sbi-devs.bsky.social · 18/11/2024

Hello, world! We are a community-developed toolkit that performs Bayesian inference for simulators. We support a broad range of methods (NPE, NLE, NRE, amortized and sequential), neural network architectures (flows, diffusion models), samplers, and diagnostics. Join us!

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