Inria France
Institut d'Astrophysique Spatiale Paris, France
INRIA Paris-Saclay Paris
Mistral Paris
Karavela France
@QuantStack Paris, France
FreePro Marseille, France
https://github.com/probabl-ai
probabl.ai Paris, France
Meta Paris, France
{{ message }}
Gioia Blayer
gblayer
PhD student @ Inria Saclay, SODA team
Working on Tabular Foundation Models.
Lisa
lisaleemcb
I'm a cosmologist working on combining multiple probes (such as the CMB and 21cm) in order to learn interesting things about the universe!
Virginie Loison
vloison
PhD student @ INRIA Paris-Saclay and Lariboisière hospital.
Alice Le Brigant
alebrigant
Assistant professor in the Applied Mathematics team SAMM, University Paris 1.
Vincent M
Vincent-Maladiere
Applied Science @mistralai. Previously ML Research Engineer at @soda-inria • Contributor @scikit-learn and @skrub-data
alexis
alexisthual
Decoding brain signals with magnetic resonance @karavela-ai | PhD in ML applied to neuroimagery @neurospin & @INRIA
Julien Jerphanion
jjerphan
Computer Science • Applied Maths • Software • Progressive Music
Yasmin
ymzayek
Lead developer in AI R&D. Formerly an open source software maintainer with a background in neuroscience.
Arturo Amor
ArturoAmorQ
PhD in physics, ML Engineer at :probabl. and core contributor to scikit-learn.
Olivier Grisel
ogrisel
Machine Learning Engineer at :probabl. and core contributor to scikit-learn.
Alexandre Gramfort
agramfort
Machine Learning researcher @ Meta Reality Labs, scikit-learn core dev, pythonista interested in neuroscience applications
scikit-learn
scikit-learn
Repositories related to the scikit-learn Python machine learning library.
Gael Varoquaux
GaelVaroquaux
Research director at Inria. Computer science, data science, health. Scipy & pydata coder; (co)funder of scikit-learn, joblib, probabl.
PreviousNext