Gael Varoquaux (@GaelVaroquaux)
  • Stars
    star
    576
  • Global Rank 51,143 (Top 2 %)
  • Followers 3,114
  • Following 4
  • Registered almost 15 years ago
  • Most used languages
    Python
    60.0 %
    HTML
    15.0 %
    TeX
    5.0 %

Top repositories

1

sklearn_pandas_tutorial

EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn
Python
84
star
2

interpreting_ml_tuto

Tutorial on interpreting and understanding machine learning models
Python
67
star
3

sklearn_europython_2014

Scikit-learn Tutorial at EuroPython 2014
Jupyter Notebook
43
star
4

stats_in_python_tutorial

Material for the statistics in Python tutorial
Python
42
star
5

canica

Canonical ICA for fMRI
Python
31
star
6

sklearn_ensae_course

Materials for a course on scikit-learn at ENSAE
Jupyter Notebook
30
star
7

ml_med_imaging_failures

Failures in machine learning for medical imaging
HTML
30
star
8

scipy-tutorials

SciPy tutorials. This is outdated, check out scipy-lecture-notes
Python
12
star
9

my_topics

Topics of conferences
Python
12
star
10

advanced_sklearn_tuto

A "from zero to hero" scikit-learn tutorial, targeted at technical folks but not machine learning savy
8
star
11

cross_val_experiments

Python
6
star
12

cross_validation_failure

Code for the paper on cross-validation failure
Python
4
star
13

nipeep

Lighweight and imperative usage of nipype
Python
3
star
14

gaelvaroquaux.github.io

My website
HTML
3
star
15

paradoxical_commandments

A PDF (LaTeX generated) of the paradoxical commandments
TeX
3
star
16

tmp_complete_linkage

Ongoing work for fancy complete linkage
Python
3
star
17

smithy

Tool for running pipelines.
Python
2
star
18

test-split-prediction-models

Evidence for prediction requires separating train and test data
Jupyter Notebook
2
star
19

website

Personal website
HTML
1
star
20

retreat_2021_election_data

Python
1
star
21

AIMS_sklearn

A short course on scikit-learn at AIMS Rwanda
Jupyter Notebook
1
star