sbi developers

Simulation-based inference (SBI) toolkit in PyTorch.

Tweeted by @deismic_ and @janfiete

[sbi developers @sbi_devs]

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: https://t.co/f8wTo30xP1
Full Changelog: https://t.co/6geacAhXCV...

[sbi developers @sbi_devs]

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, new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯

[sbi developers @sbi_devs]

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

[sbi developers @sbi_devs]

More details here: https://t.co/TzodCIkRWu

[sbi developers @sbi_devs]

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!

[sbi developers @sbi_devs]

🙏 Please help us improve the SBI toolbox! 🙏

In preparation for the SBI Hackathon, we’re running a user study to learn what we can improve and how we can grow.
👉 Please share your thoughts here: https://t.co/axxd06ixVR

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

[sbi developers @sbi_devs]

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.

Free to attend, but seats are limited. Beginners welcome! 🤗

[sbi developers @sbi_devs]

🚀 Join the 4th SBI Hackathon! 🚀

The last 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 or remote
👉 Details: https://t.co/9N50eqRlZ9
🧵👇

[sbi developers @sbi_devs]

🙌 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!

[sbi developers @sbi_devs]

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

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

🔗 Full changelog: https://t.co/bn4qICJMcU

[sbi developers @sbi_devs]

✨ 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.

[sbi developers @sbi_devs]

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 the sbi package in particular.

You are all invited to join! 🤗 https://t.co/Q1QmpYTPRR

[sbi developers @sbi_devs]

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! https://t.co/f8wTo2ZZZt

[sbi developers @sbi_devs]

The sbi package is growing into a community project 🌎 To reflect this and the algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper. Reach out if you want to get involved: https://t.co/IKRLTONnbj

[sbi developers @sbi_devs]

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.