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Reposted by sbi - Simulation-based inference

Jan Boelts @janboelts.bsky.social · 20d

Materials from my EuroSciPy talk "Pyro meets SBI" are now available: github.com/janfb/pyro-meets-sbi

I show how we can use @sbi-devs.bsky.social-trained neural likelihoods in pyro 🔥

Check it out if you need hierarchical Bayesian inference but your simulator / model has no tractable likelihood.

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sbi - Simulation-based inference @sbi-devs.bsky.social · 29d

This release brought together 14 first-time contributors with our core team.

A big shout out to the community and everyone contributing to this release 🙏 🙌

📦 (uv) pip install sbi --upgrade
💻 Join us: github.com/sbi-dev/sbi
Full Changelog: github.com/sbi-dev/sbi/...

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 ...

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 ...

github.com

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sbi - Simulation-based inference @sbi-devs.bsky.social · 29d

Two more highlights: Your sbi-trained NLE can now be wrapped into a Pyro model object for flexible hierarchical inference. And based on your feedback, we added to(device) for priors and posteriors—switching between CPU and GPU is now even easier!

6/7

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sbi - Simulation-based inference @sbi-devs.bsky.social · 29d

Here's where it gets wild: we unified flow matching (ODEs) and score-based models (SDEs). Train with one, sample with the other. E.g., train with the flexibility and stability of flow-matching, then handle iid data with score-based posterior sampling. 🤯

5/7

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sbi - Simulation-based inference @sbi-devs.bsky.social · 29d

We completely rebuilt our documentation! Switched to Sphinx for a cleaner, more modular structure. No more wading through lengthy tutorials—now you get short, targeted how-to guides for exactly what you need, plus streamlined tutorials for getting started.

📚 sbi.readthedocs.io/en/latest/

4/7

Welcome to sbi!

sbi.readthedocs.io

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sbi - Simulation-based inference @sbi-devs.bsky.social · 29d

New inference methods: MNPE now handles mixed discrete and continuous parameters for posterior estimation (like MNLE but for posteriors).
And for our nostalgic users: we finally added SNPE-B, that classic sequential variant you've been asking about since 2020.

3/7

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sbi - Simulation-based inference @sbi-devs.bsky.social · 29d

After the creative burst of the hackathon in March, we spent months cleaning up, testing, and polishing. Re-basing ten exciting feature branches into main takes time—but the result is worth it.

2/7

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sbi - Simulation-based inference @sbi-devs.bsky.social · 29d

From hackathon to release: sbi v0.25 is here! 🎉

What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯

1/7 🧵

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sbi - Simulation-based inference @sbi-devs.bsky.social · May 20

More great news from the SBI community! 🎉
Two projects have been accepted for Google Summer of Code under the NumFOCUS umbrella, bringing new methods and general improvements to sbi. Big thanks to @numfocus.bsky.social, GSoC and our future contributors!

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sbi - Simulation-based inference @sbi-devs.bsky.social · May 12

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. 🥁 🎉

A wide shot of approximately 30 individuals standing in a line, posing for a group photograph outdoors. The background shows a clear blue sky, trees, and a distant cityscape or hills.

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sbi - Simulation-based inference @sbi-devs.bsky.social · Apr 4

🎉 Exciting news! We are lauching an sbi office hour!

Join the sbi developers Thursdays 09:45-10:15am CET via Zoom (link: sbi Discord's "office hours" channel).

Get guidance on contributing, explore sbi for your research, or troubleshoot issues. Come chat with us! 🤗

github.com/sbi-dev/sbi/...

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sbi - Simulation-based inference @sbi-devs.bsky.social · Mar 16

More details here:
github.com/sbi-dev/sbi/...

Release v0.24.0 · sbi-dev/sbi

✨ Highlights feat: add CategoricalMADE by @jnsbck in #1269 (Major New Feature) tests: mini-sbibm by @manuelgloeckler in #1335 (Major New Feature) feat: Score-based iid sampling by @manuelgloeckle...

github.com

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sbi - Simulation-based inference @sbi-devs.bsky.social · Mar 16

sbi 0.24.0 is out! 🎉 This comes with important new features:
- 🎯 Score-based i.i.d sampling
- 🔀 Simultaneous estimation of multiple discrete and continuous parameters or data.
- 📊: mini-sbibm for quick benchmarking.

Just in time for our 1-week SBI hackathon starting tomorrow---stay tuned for more!

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sbi - Simulation-based inference @sbi-devs.bsky.social · Jan 28

🙏 Please help us improve the SBI toolbox! 🙏

In preparation for the upcoming SBI Hackathon, we’re running a user study to learn what you like, what we can improve, and how we can grow.

👉 Please share your thoughts here: forms.gle/foHK7myV2oaK...

Your input will make a big difference—thank you! 🙌

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sbi - Simulation-based inference @sbi-devs.bsky.social · Jan 14

What to expect:
- Coding sessions to enhance the sbi toolbox
- Research talks & lightning talks
- Networking & idea exchange
🌍 In-person attendance is encouraged but a remote option is available.
It's free to attend, but seats are limited. Beginners are welcome! 🤗
Let’s push SBI forward—together! 🚀

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sbi - Simulation-based inference @sbi-devs.bsky.social · Jan 14

🚀 Join the 4th SBI Hackathon! 🚀
The last SBI hackathon was a fantastic milestone in forming a collaborative open-source community around SBI. Be part of it this year as we build on that momentum!

📅 March 17–21, 2025
📍 Tübingen, Germany or remote
👉 Details: github.com/sbi-dev/sbi/...

More Info:🧵👇

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sbi - Simulation-based inference @sbi-devs.bsky.social · Dec 30

🙌 Huge thanks to our contributors for this release, including 5 first-time contributors! 🌟

Special shoutout to:
emmanuel-ferdman, CompiledAtBirth, tvwenger, matthewfeickert, and manuel-morales-a 🎉

Let us know what you think of the new version!

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sbi - Simulation-based inference @sbi-devs.bsky.social · Dec 30

✨ Highlights in v0.23.3:
- sbi is now available via condaforge 🛠️
- we now support MCMC sampling with multiple i.i.d. conditions 🎯 (this is for you, decision-making researchers)

💡 Plus, improved docs here and there, clarified SNPE-A behavior, and a couple of bug fixes.

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sbi - Simulation-based inference @sbi-devs.bsky.social · Dec 30

🎉 Just in time for the end of the year, we’ve released a new version of sbi!

📦 v0.23.3 comes packed with exciting features, bug fixes, and docs updates to make sbi smoother and more robust. Check it out! 👇

🔗 Full changelog: github.com/sbi-dev/sbi/...

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sbi - Simulation-based inference @sbi-devs.bsky.social · Dec 3

We are launching an SBI Discord Server! 🎉

We want to use this server to further build a community around SBI, i.e., for sharing insights, questions and events around simulation-based inference in general and the sbi package in particular.

You are all invited to join! 🤗 github.com/sbi-dev/sbi/...

SBI Discord Server 🤖 · sbi-dev sbi · Discussion #1318

Dear all, we are launching an SBI Discord Server! 🎉 We want to use this server to further build a community around SBI, i.e., for sharing insights, questions and events around SBI in general and th...

github.com

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sbi - Simulation-based inference @sbi-devs.bsky.social · Nov 27

As of today, 61 scientists and engineers have contributed to the sbi toolbox. We are extremely happy about this, and want to give a huge **thank you** to all contributors! Stay tuned for more info on events and updates! github.com/sbi-dev/sbi

GitHub - sbi-dev/sbi: Simulation-based inference toolkit

Simulation-based inference toolkit. Contribute to sbi-dev/sbi development by creating an account on GitHub.

github.com

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sbi - Simulation-based inference @sbi-devs.bsky.social · Nov 27

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 · Nov 27

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 · Nov 27

The sbi package is growing into a community project 🌍 To reflect this and the many algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper 📝 Check it out, and reach out if you want to get involved: arxiv.org/abs/2411.17337

sbi reloaded: a toolkit for simulation-based inference workflows

Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challeng...

arxiv.org

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sbi - Simulation-based inference @sbi-devs.bsky.social · Nov 18

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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