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/...

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 🧵

Finally most important, thanks to my awesome collaborators : Yanis Lalou, @tgnassou.bsky.social @antoinecollas.bsky.social , Antoine de Mathelin, @ambroiseodt.bsky.social , Thomas Moreau, Alexandre Gramfort and all the SKADA contributors 14/14 scikit-adaptation.github.io

SKADA-Bench : Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities, has been published published in TMLR today 🚀. It was a huge team effort to design (and publish) an open source fully reproducible DA benchmark 🧵1/n. openreview.net/forum?id=k9F...

🚀 We are happy to organize the BERT²S workshop @neuripsconf.bsky.social 2025 on Recent Advances in Time Series Foundation Models.
🌐 berts-workshop.github.io
📜Submit by August 22
🎓Speakers and panelists: Chenghao Liu, Mingsheng Long, Zoe Piran, Danielle C. Maddix, Ameet Talwalkar, Qingsong Wen

Having a drink after the first day of the skada code sprint. Thanks to all the participants tons of nice things are coming. scikit-adaptation.github.io

Journée IA générative pour les chercheur•euses @univparissaclay.bsky.social, co-organisé par @dataiainstitute.bsky.social pour travailler sur les usages dans les applications scientifiques, sur les bonnes pratiques, sur leurs impacts environnementaux www.dataia.eu/evenements/l...

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/...

🚀 Skada v0.4.0 is out!

Skada is an open-source Python library built for domain adaptation (DA), helping machine learning models to adapt to distribution shifts.
Github: github.com/scikit-adapt...
Doc: scikit-adaptation.github.io
DOI: doi.org/10.5281/zeno...
Installation: `pip install skada`

Super proud of this work! DA is the way to go for many applications and Skada will democratize it!