🎉 sbi participated in GSoC 2025 through @numfocus.bsky.social and it was a great success: our two students contributed major new features and substantial internal improvements: 🧵 👇

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.

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 🧵

Fun read of their amazing contributions to the SBI hackathon! 🥐 The SBI-Pyro bridge that @sethaxen.com built has a lot of potential I believe. I'll actually be presenting this work at @euroscipy.bsky.social this Wednesday - excited to share this with a broader audience. euroscipy.org/talks/KCYYTF/

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!

Great reminder of this sunny and so productive week in March and how much I enjoy being part of this dedicated and lovely group of SBI contributors! 🤗 Big thanks to all participants & co-organizers! 🎉

🥳Great news, our JOSS paper "sbi reloaded" has been accepted! 🎉 This community lead by the fine folks of @sbi-devs.bsky.social is very welcoming and super fun to work with! I learn with every discussion I have. paper: joss.theoj.org/papers/10.21... review: github.com/openjournals...

We have been thinking about this for a while and now it’s here 🎉Looking forward to all the exciting SBI applications we will be discussing, and to onboarding new contributors! 🚀

It's been a blast, thanks to @sbi-devs.bsky.social ! This week's hackathon was phenomenal! 🙏 😍 The sbi hackathon welcomed about 25 people in Tübingen with contributions spanning the globe , e.g. 🇺🇸🇯🇵🇧🇪🇩🇪. Wanna see, what we did? Check out the PRs👇 github.com/sbi-dev/sbi/...

On my way to the SBI hackathon in Tübingen—on a EuroCity that’s overbooked, delayed, and mysteriously missing all reservation signs. People pacing the aisles, luggage blocking exits, a baby wailing in the distance… 🚆🔥😵‍💫 If only the German railway system were as user-friendly as the SBI package! 🥲

For everyone working with trial-based i.i.d. data and varying experimental conditions - we have you covered now! You need to train NLE only once and then can run MCMC with multiple subjects, trials and conditions, etc. Example: sbi-dev.github.io/sbi/dev/tuto... Reach out on GitHub for questions 🙋‍♂️

So happy to be part of this project and see it growing! Many thanks to all contributors and users for making it possible 🚀

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!