Also at:
https://sigmoid.social/@ogrisel
https://github.com/ogrisel
Thanks everyone who contributed to this release!
Let me know what you think of the experimental GPU support
Thanks everyone who contributed to this release!
Let me know what you think of the experimental GPU support
Highlights 🎁
- Enhanced notebook scrolling behavior
- Native audio and video support
- New Terminal search
- Debugger, Notebook and File Browser improvements
Check out the blog post to learn more!
blog.jupyter.org/jupyterlab-4...
Highlights 🎁
- Enhanced notebook scrolling behavior
- Native audio and video support
- New Terminal search
- Debugger, Notebook and File Browser improvements
Check out the blog post to learn more!
blog.jupyter.org/jupyterlab-4...
- 60+ arch., up to 2B params
- 10+ datasets
- in-domain training (>DINOv3)
- corr(train loss, test perf)=95%
- 60+ arch., up to 2B params
- 10+ datasets
- in-domain training (>DINOv3)
- corr(train loss, test perf)=95%
PSF therefore declined the funding.
Science suffers, but commitment to core values remains
🧵
PSF therefore declined the funding.
Science suffers, but commitment to core values remains
Ticketing, practical infos and schedule at: pydata.org/paris2025
github.com/scikit-learn...
github.com/scikit-learn...
pydata.org/paris2025/so...
pydata.org/paris2025/ti...
pydata.org/paris2025/so...
pydata.org/paris2025/ti...
"Probabilistic regression models: let's compare different modeling strategies and discuss how to evaluate them", by @ogrisel.bsky.social from @probabl.ai .
📜 pretalx.com/pydata-paris-2025/talk/DVMZBT
📅 pydata.org/paris2025/schedule
🎟 pydata.org/paris2025/tickets
What's one thing you'd love to see improved in JupyterLab, Jupyter Notebook, or JupyterLite?
The team is prepping the upcoming 4.5/7.5 releases and wants to tackle some usability issues.
Drop your feedback below, this will help prioritize what gets fixed!👇
What's one thing you'd love to see improved in JupyterLab, Jupyter Notebook, or JupyterLite?
The team is prepping the upcoming 4.5/7.5 releases and wants to tackle some usability issues.
Drop your feedback below, this will help prioritize what gets fixed!👇
We discussed what (not) to do when fitting a classifier and obtaining degenerate precision or recall values.
probabl-ai.github.io/calibration-...
We discussed what (not) to do when fitting a classifier and obtaining degenerate precision or recall values.
probabl-ai.github.io/calibration-...
Here is the repo with the material for the tutorial: github.com/skrub-data/E...
Here is the repo with the material for the tutorial: github.com/skrub-data/E...
📊 an online leaderboard (submit!)
📑 carefully curated datasets
📈 strong tree-based, deep learning, and foundation models
🧵
📊 an online leaderboard (submit!)
📑 carefully curated datasets
📈 strong tree-based, deep learning, and foundation models
🧵
With Jingang Qu, @dholzmueller.bsky.social, and Marine Le Morvan
TL;DR: a well-designed architecture and pretraining gives best tabular learner, and more scalable
On top, it's 100% open source
1/9
With Jingang Qu, @dholzmueller.bsky.social, and Marine Le Morvan
TL;DR: a well-designed architecture and pretraining gives best tabular learner, and more scalable
On top, it's 100% open source
1/9
🚀 Major update! Skrub DataOps, various improvements for the TableReport, new tools for applying transformers to the columns, and a new robust transformer for numerical features are only some of the features included in this release.
My solution is short (48 LOC) and relatively general-purpose – I used skrub to preprocess string and date columns, and pytabkit to create an ensemble of RealMLP and TabM models. Link below👇
My solution is short (48 LOC) and relatively general-purpose – I used skrub to preprocess string and date columns, and pytabkit to create an ensemble of RealMLP and TabM models. Link below👇
Don't miss out on this chance to learn, connect, and grow. Save the date and get your ticket!
pydata.org/paris2025/sc...
Don't miss out on this chance to learn, connect, and grow. Save the date and get your ticket!
pydata.org/paris2025/sc...
The inductive bias of the neural network prevents from perfectly learning u* and overfitting.
In particular neural networks fail to learn the velocity field for two particular time values.
See the paper for a finer analysis 😀
The inductive bias of the neural network prevents from perfectly learning u* and overfitting.
In particular neural networks fail to learn the velocity field for two particular time values.
See the paper for a finer analysis 😀
Don't miss out! Early bird tickets are available only until the end of the day. Grab yours now and save!
pydata.org/paris2025/ti...
Don't miss out! Early bird tickets are available only until the end of the day. Grab yours now and save!
pydata.org/paris2025/ti...
Only a few days left to grab your early bird tickets! Don't wait—this special offer ends Sunday at the end of the day. Secure yours now!
pydata.org/paris2025/ti...
Only a few days left to grab your early bird tickets! Don't wait—this special offer ends Sunday at the end of the day. Secure yours now!
pydata.org/paris2025/ti...
The countdown is on — only 10 days left to grab your early bird tickets for our 2025 edition! Lock in your spot at the best price before rates go up.
pydata.org/paris2025/ti...
The countdown is on — only 10 days left to grab your early bird tickets for our 2025 edition! Lock in your spot at the best price before rates go up.
pydata.org/paris2025/ti...
Check this out (links in thread) ⬇️
Check this out (links in thread) ⬇️
Eric Snow: www.linkedin.com/in/ericsnowc...
Irit Katriel: www.linkedin.com/in/irit-katr...
Mark Shannon: www.linkedin.com/in/mark-shan...
Eric Snow: www.linkedin.com/in/ericsnowc...
Irit Katriel: www.linkedin.com/in/irit-katr...
Mark Shannon: www.linkedin.com/in/mark-shan...
docs.python.org/3.14/whatsne...
docs.python.org/3.14/whatsne...