Gilles Louppe

info8010-deep-learning. Lectures for INFO8010 Deep Learning, ULiège

phd-thesis. Repository of my thesis "Understanding Random Forests"

info8006-introduction-to-ai. Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège

tutorials-scikit-learn. Scikit-Learn tutorials

info8004-advanced-machine-learning. Lectures for INFO8004 Advanced Machine Learning, ULiège

info8002-large-scale-data-systems. Lectures for INFO8002 - Large-scale Data Systems, ULiège

talk-pydata2015. Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015

dats0001-foundations-of-data-science. Materials for DATS0001 Foundations of Data Science, ULiège

recnn. Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"

paper-learning-to-pivot. Repository for the paper "Learning to Pivot with Adversarial Networks"

talk-template. Template for talks in remark+KaTeX.

talk-bayesian-optimisation. Talk on "Bayesian optimisation", beginner level

notebooks. Random fiddling stored in notebooks

paper-author-disambiguation. Repository for the paper "Ethnicity sensitive author disambiguation using semi-supervised learning"

ssi2023. CSS

kaggle-marinexplore. Code for the Kaggle Marinexplore challenge

paper-avo. Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"

scikit-optimize. Sequential model-based optimization with a `scipy.optimize` interface

flowing-with-jax. Jupyter Notebook

tutorial-sklearn-lhcb. Tutorial "An introduction to Machine Learning with Scikit-Learn", presented at CERN

proj0016-big-data-project. Materials for PROJ0016 - Big data project

beard. Bibliographic Entity Automatic Recognition and Disambiguation

baby-copilot. An experimental AI system that can autonomously fix and improve code

tutorials-iml2017. Jupyter Notebook

scikit-learn. scikit-learn: machine learning in Python

iaifi-summer-school-2024. Jupyter Notebook

talk-learning-to-pivot. Talk on "Learning to Pivot with Adversarial Networks"

talk-lfi-effectively. CSS

kaggle-solar-energy. Code for the Kaggle Solar Energy Prediction challenge

lectures-iccub-2016. Machine learning lectures given as part of ICCUB 2016 http://icc.ub.edu/congress/ICCUB_DM_SCHOOL

ggi-deep-learning. Jupyter Notebook

covid19be. Jupyter Notebook

paper-variable-importances-nips2013. Repository for the paper "Understanding variable importances in forests of randomized trees"

cv. Curriculum vitae

kaggle-higgs. Code for the Kaggle Higgs Boson challenge

talk-disambiguation-inspire. Talk on "Machine Learning for Author Disambiguation" presented at Inspire weekly meeting

talk-teaching-machines-to-discover-particles. Talk on "Teaching machines to discover particles"

talk-qcd-rnn. Talk on "QCD-aware recursive neural networks for jet physics"

talk-popular-science-ai. CSS

talk-ai-summit2025. CSS

talk-gap2024. CSS