Charles Dufour

Graph Neural Network Library for PyTorch

Comparison of standard combinatorial optimization with reinforcement learning techniques on rescheduling problems as semester project

second project for the course of machine learning CS433 in collaboration with the Laboratory of Computational Systems Biotechnology (SB/SV/STI) LCSB

a python library to work with graphons

Use case for a summer intership at Visium, Speech emotion recognition based on the berlin database

Project 1 for the course Machine Learning CS433 EPFL

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Optimal transport algorithms for Julia

Julia package to deal with multivariate Bernoullis

Profile repository of Pietro Monticone.

Code for the paper "Inference for decorated graphs and application to multiplex networks" (Dufour and Olhede 2024)

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Global documentation for the Julia SciML Scientific Machine Learning Organization

Material for the EPFL master course "A Network Tour of Data Science", edition 2018.

Reports written during my studies

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Project for the course of Bayesian computation (MATH-435). The purpose of this project was to write the low level functions and algorithms used in bayesian statistics and to use them on a simple dataset.

Projects for the course Deep Learning EE559 EPFL