Gael Varoquaux

Applied Machine Learning in Python with scikit-learn

EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn

Tutorial on interpreting and understanding machine learning models

Scikit-learn Tutorial at EuroPython 2014

Material for the statistics in Python tutorial

Canonical ICA for fMRI

Failures in machine learning for medical imaging

Materials for a course on scikit-learn at ENSAE

scikit-learn: machine learning in Python

Topics of conferences

SciPy tutorials. This is outdated, check out scipy-lecture-notes

Notes used to give tutorials

presentation material for a talk at Python Exchange on skrub

A "from zero to hero" scikit-learn tutorial, targeted at technical folks but not machine learning savy

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Lighweight and imperative usage of nipype

Code for the paper on cross-validation failure

My website

A PDF (LaTeX generated) of the paradoxical commandments

NeuroImaging with the Scikit-learn: fMRI inverse inference tutorial

Ongoing work for fancy complete linkage

Python function as pipeline jobs. THIS IS NOT THE MAIN REPO!

Neuroimaging in python

Evidence for prediction requires separating train and test data

Tool for running pipelines.

A little word cloud generator in Python

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A collection of image segmentation algorithms based on diffusion methods

Generate reports out of python scripts

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Currently skunkwork status, please do not advertise on social media. But help welcomed.

Personal website

Prototype: text and HTML reports on the contents of a dataframe

Competing Risks and Survival Analysis

Prepping tables for machine learning

A short course on scikit-learn at AIMS Rwanda

NeuroData Science Lab Website

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scikit-learn-mooc

Code for the paper "On the consistency of supervised learning with missing values"

pyHANSO: Python Implementation of Michael Overton's HANSO (Hybrid Algorithm for Non-Smooth Optimization)

Paper for special issue "Python in Neurosciences II"

Python package to access a cacophony of neuro-imaging file formats

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Image Processing SciKit (Toolbox for SciPy)

Scipy main repository

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A scikit for signal processing

Numpy main repository

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Proposal for a summer school in reproducible research in Python, Summer 2012

Workflows and interfaces for neuroimaging packages

Experiments around setting logistic regression regularization parameter

Hosting the scikit-learn blog.

𝐓𝗿𝗮𝗰 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

Issues and content related to communicating about scikit-learn

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

TabICLv2: A state-of-the-art tabular foundation model

Inspecting the download statistics on conda

Collaborative blogging theme for Pelican blogs

Presentation on skrub data-ops given at dotAI 2025

:sunglasses: A curated list of awesome DataOps tools

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Note taking of various type (drafting, meeting notes...)

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Materials for NH2020

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Materials for the 2020 NeuroDataScience Course (McGill QLS612)

Web site for the Nilearn Dev Days, May 2020

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Modeling and statistical inference on fMRI data in Python

Python package to easily access the most updated Coronavirus data using Python/PIP

Dictionary of Functional Modes for brain imaging

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Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

Distributed computation in Python

Sphinx extension for automatic generation of an example gallery

Website for the autism RAMP

BIDS App for resting state signal extraction using nilearn.

This an example app that can serve as a template.

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Task scheduling and blocked algorithms for parallel processing

Whitelist of apt sources approved for build environments with restricted sudo

Citing software and how to measure it.

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Prototyping stuff that could go one day in nilearn

A review of methods for comparing connectomes

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