bguedj

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

stats

macOS system monitor in your menu bar

copilot-docs

Documentation for GitHub Copilot

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

probability

Probabilistic reasoning and statistical analysis in TensorFlow

nevergrad

A Python toolbox for performing gradient-free optimization

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

sklearn_tutorial

Materials for my scikit-learn tutorial

cops

Calibre OPDS (and HTML) PHP Server : web-based light alternative to Calibre content server / Calibre2OPDS to serve ebooks (epub, mobi, pdf, ...)

OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

biblatex

biblatex is a sophisticated bibliography system for LaTeX users. It has considerably more features than traditional bibtex and supports UTF-8

allanlab

Allan Lab website

coronavirus-dashboard

Dashboard for tracking Coronavirus (COVID-19) across the UK

phdthesis

Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces

ML_bazaar

OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.

arxiv-submission-sanitizer-flattener

Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.

mmdagg-paper

Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.15073

MagmaClustR

Clustering and Predictions with Multi-Task Gaussian Processes

Geneland

cours2019-Intro_aux_reseaux_de_neurones

Matériel rédigé pour un cours/td de 30h d'introduction aux réseaux de neurones à l'intention élèves de Master 2 en statistiques (automne 2019, Université de Lille, Département de Mathématiques).

diffy

Code for pre-print "Measuring dissimilarity with diffeomorphism invariance" (2022)

ksdagg-paper

Code for reproducible experiments presented in KSD Aggregated Goodness-of-fit Test. https://arxiv.org/abs/2202.00824 NeurIPS 2022

PBVAE

fern-uk.github.io

Website of FERN-UK

gp-seminar-series.github.io

Seminar Series on Gaussian Process, Spatiotemporal Modeling, and Decision-making Systems

sequential_learning_of_principal_curve

margins-and-derandomisation-code

Code for paper: On Margins and Derandomisation in PAC-Bayes

csml-cam.github.io

CSML @ Cambridge

DynamiquesOpinions2021

Code from my internship at University College of London, supervised by Benjamin Guedj and Antoine Vendeville on the analysis of opinion dynamics on social networks.