There are no reviews yet. Be the first to send feedback to the community and the maintainers!
info8010-deep-learning
Lectures for INFO8010 Deep Learning, ULiègephd-thesis
Repository of my thesis "Understanding Random Forests"info8006-introduction-to-ai
Lectures for INFO8006 Introduction to Artificial Intelligence, ULiègetutorials-scikit-learn
Scikit-Learn tutorialsinfo8004-advanced-machine-learning
Lectures for INFO8004 Advanced Machine Learning, ULiègeinfo8002-large-scale-data-systems
Lectures for INFO8002 - Large-scale Data Systems, ULiègetalk-pydata2015
Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015recnn
Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"dats0001-foundations-of-data-science
Materials for DATS0001 Foundations of Data Science, ULiègepaper-learning-to-pivot
Repository for the paper "Learning to Pivot with Adversarial Networks"talk-bayesian-optimisation
Talk on "Bayesian optimisation", beginner leveltalk-template
Template for talks in remark+KaTeX.paper-author-disambiguation
Repository for the paper "Ethnicity sensitive author disambiguation using semi-supervised learning"notebooks
Random fiddling stored in notebooksssi2023
kaggle-marinexplore
Code for the Kaggle Marinexplore challengeflowing-with-jax
paper-avo
Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"tutorial-sklearn-lhcb
Tutorial "An introduction to Machine Learning with Scikit-Learn", presented at CERNproj0016-big-data-project
Materials for PROJ0016 - Big data projecttutorials-iml2017
baby-copilot
An experimental AI system that can autonomously fix and improve codetalk-learning-to-pivot
Talk on "Learning to Pivot with Adversarial Networks"lectures-iccub-2016
Machine learning lectures given as part of ICCUB 2016 http://icc.ub.edu/congress/ICCUB_DM_SCHOOLkaggle-solar-energy
Code for the Kaggle Solar Energy Prediction challengeiaifi-summer-school-2024
covid19be
ggi-deep-learning
paper-variable-importances-nips2013
Repository for the paper "Understanding variable importances in forests of randomized trees"lecture-dlvm
cv
Curriculum vitaetalk-disambiguation-inspire
Talk on "Machine Learning for Author Disambiguation" presented at Inspire weekly meetingkaggle-higgs
Code for the Kaggle Higgs Boson challengeglouppe.github.io
Source of http://glouppe.github.iotalk-teaching-machines-to-discover-particles
Talk on "Teaching machines to discover particles"talk-physai
talk-eccv2024
talk-qcd-rnn
Talk on "QCD-aware recursive neural networks for jet physics"talk-cds2014
Talk on "Scikit-Learn in Particle Physics" presented at Telecom ParisTechtalk-classification-control-channel
Talk on "Classification with a control channel" presented at CERN, October 2015talk-aleph-workshop2015
Talk on "Pitfalls of evaluating a classifier's performance in high energy physics applications" presented at the ALEPH workshop, NIPS, December 2015talk-ariac-wp3
talk-popular-science-ai
talk-gap2024
Love Open Source and this site? Check out how you can help us