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Some people use the expression "eating your own dog food", but we prefer "drinking your own champagne" 🍾🥂 Gael Varoquaux 🦋 not only co-founded scikit-learn with Olivier Grisel, Alexandre Gramfort, Fabian Pedregosa Garcia and @BertrandThirion, he also uses it daily!

Super happy to share that the first major paper from my PhD has been published in PLOS Comp Biol! 🧠🖥️🧪 doi.org/10.1371/journa… (checkout the thread below for a quick summary) Couldn't have done it without my wonderful coauthors Stephanie Jones Alexandre Gramfort and Pedro L. C. Rodrigues

For those of you who were wondering what I’ve been doing since I joined Meta Reality Labs late 2022. Here is the first detailed scientific communication about our work. You can read the paper at: biorxiv.org/content/10.110…

Someone asked me recently why the Paris AI ecosystem is so 🔥 these days. On the surface, it looks like Paris became a major #AI center overnight, but it didn't. It took time and didn't appear by accident. Here is a story that started more than 10 years ago. 👇

Really cool paper from Fabian Gloeckle, Gabriel Synnaeve et al AI at Meta showing the importance of learning to predict beyond the next word: arxiv.org/abs/2404.19737 I'm real pleased as we showed last year that this objective better accounts for brain activity: x.com/c_caucheteux/s…

With benchopt, we are trying to make it easy to interact and extend this huge benchmark! We are pushing hard to make it easy to integrate new methods even if you don't know MOABB! If you develop new BCI methods, come and try them on the github.com/benchopt/bench…

Great work @apmellot 🙌

Extremely happy to announce the (alpha) release 0.3.0 of SKADA Scikit Adaptation, a python toolbox for domain adaptation fully compatible with scikit-learn and PyTorch Code : github.com/scikit-adaptat… Doc: scikit-adaptation.github.io

🚀 Exciting News! Benchopt 1.6.0 is here with a ton of new features to make ML benchmarking easier than ever! 🎉 🔗 Changelog: benchopt.github.io/whats_new.html 🧵👇

Neuroscience needs a career path for software engineers 👍👍👍 thetransmitter.org/craft-and-care…

🚀 I'm thrilled to share that I've joined a community of proud investors in :probabl., a mission-driven company that is the official brand operator of scikit-learn, the leading #MachineLearning #OpenSource framework and its 1.5 billion downloads! papers.probabl.ai/announcing-maj…

I see reports saying that GPT 4o or OpenAI o1 can implement papers by reading the method section. Maybe we can use LLMs as (self-)reviewer 2. If your paper cannot be reimplemented from the pdf then it means your writing is not clear enough ? 😂

⚠️ Launch Alert 🚀 Today, we're launching the first official and global scikit-learn practitioner certification program, level 1️⃣ Thank you Inria and Artefact for being our launch partners! Be the among the first to get certified 👉 certification.probabl.ai

I will be at NeurIPS Conference 2024 in Vancouver next week. Ping me if you want to grab ☕️ or🍺 and chat about ML stuff for biosignals (EMG, EEG, MEG, …)

With some help (and terrifying but so nice code reviews) from Alexandre Gramfort we made it a proper Python library with a documentation and an example gallery. pythonot.github.io/auto_examples/…

Great science and friends moments this year at NeurIPS Conference see you next year 👋