Gilles Louppe (@glouppe)

Top repositories

1

info8010-deep-learning

Lectures for INFO8010 Deep Learning, ULiège
Jupyter Notebook
1,188
star
2

phd-thesis

Repository of my thesis "Understanding Random Forests"
TeX
526
star
3

info8006-introduction-to-ai

Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège
Jupyter Notebook
355
star
4

tutorials-scikit-learn

Scikit-Learn tutorials
Jupyter Notebook
128
star
5

info8004-advanced-machine-learning

Lectures for INFO8004 Advanced Machine Learning, ULiège
CSS
97
star
6

info8002-large-scale-data-systems

Lectures for INFO8002 - Large-scale Data Systems, ULiège
CSS
63
star
7

talk-pydata2015

Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
TeX
50
star
8

recnn

Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
Jupyter Notebook
44
star
9

dats0001-foundations-of-data-science

Materials for DATS0001 Foundations of Data Science, ULiège
Jupyter Notebook
35
star
10

paper-learning-to-pivot

Repository for the paper "Learning to Pivot with Adversarial Networks"
Jupyter Notebook
34
star
11

talk-bayesian-optimisation

Talk on "Bayesian optimisation", beginner level
Jupyter Notebook
25
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12

talk-template

Template for talks in remark+KaTeX.
CSS
24
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13

paper-author-disambiguation

Repository for the paper "Ethnicity sensitive author disambiguation using semi-supervised learning"
TeX
23
star
14

notebooks

Random fiddling stored in notebooks
Jupyter Notebook
22
star
15

ssi2023

CSS
20
star
16

kaggle-marinexplore

Code for the Kaggle Marinexplore challenge
C
17
star
17

flowing-with-jax

Jupyter Notebook
14
star
18

paper-avo

Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"
TeX
14
star
19

tutorial-sklearn-lhcb

Tutorial "An introduction to Machine Learning with Scikit-Learn", presented at CERN
12
star
20

proj0016-big-data-project

Materials for PROJ0016 - Big data project
Jupyter Notebook
10
star
21

baby-copilot

An experimental AI system that can autonomously fix and improve code
Python
9
star
22

tutorials-iml2017

Jupyter Notebook
8
star
23

lectures-iccub-2016

Machine learning lectures given as part of ICCUB 2016 http://icc.ub.edu/congress/ICCUB_DM_SCHOOL
HTML
6
star
24

talk-learning-to-pivot

Talk on "Learning to Pivot with Adversarial Networks"
TeX
6
star
25

talk-lfi-effectively

CSS
6
star
26

kaggle-solar-energy

Code for the Kaggle Solar Energy Prediction challenge
Python
6
star
27

covid19be

Jupyter Notebook
5
star
28

ggi-deep-learning

Jupyter Notebook
5
star
29

paper-variable-importances-nips2013

Repository for the paper "Understanding variable importances in forests of randomized trees"
TeX
5
star
30

lecture-dlvm

Jupyter Notebook
4
star
31

cv

Curriculum vitae
TeX
3
star
32

talk-disambiguation-inspire

Talk on "Machine Learning for Author Disambiguation" presented at Inspire weekly meeting
TeX
3
star
33

kaggle-higgs

Code for the Kaggle Higgs Boson challenge
C++
3
star
34

glouppe.github.io

Source of http://glouppe.github.io
HTML
2
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35

talk-teaching-machines-to-discover-particles

Talk on "Teaching machines to discover particles"
TeX
2
star
36

talk-physai

CSS
1
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37

talk-qcd-rnn

Talk on "QCD-aware recursive neural networks for jet physics"
TeX
1
star
38

talk-cds2014

Talk on "Scikit-Learn in Particle Physics" presented at Telecom ParisTech
TeX
1
star
39

talk-classification-control-channel

Talk on "Classification with a control channel" presented at CERN, October 2015
TeX
1
star
40

talk-ariac-wp3

CSS
1
star
41

talk-aleph-workshop2015

Talk on "Pitfalls of evaluating a classifier's performance in high energy physics applications" presented at the ALEPH workshop, NIPS, December 2015
Jupyter Notebook
1
star
42

talk-popular-science-ai

CSS
1
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