Alexandre Perez-Lebel (aperezlebel)

aperezlebel

Geek Repo

Company:Inria Saclay

Location:Stanford

Home Page:perez-lebel.com

Twitter:@aperezlebel

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Alexandre Perez-Lebel's repositories

beyond_calibration

Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.

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meta_analysis_notebook

This notebook gathers and explains some well known neuroimaging meta-analysis techniques, discusses their limitations and applies them to real fMRI data.

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benchmark_mv_approaches

Code of the experiments ran in our GigaScience article: "Benchmarking missing-values approaches for predictive models on health databases".

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glest

Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neural nerworks".

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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MVA_OT_Project

Optimal transport project as part of Gabriel Peyré's course.

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aperezlebel.github.io

My personal website based on alshedivat/al-folio template.

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blog

Hosting the scikit-learn blog.

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brain_mapping

I'm currently working on this project at the Montreal Neurological Institue. The goal is to study the impact of meta-analysis priors on prediction performance.

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cs-video-courses

List of Computer Science courses with video lectures.

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glest_dev

Development repository for the glest package.

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meta_analysis

The goal is to study the impact of meta-analysis priors on prediction performance.

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MVA_BML_project

Group project for the Bayesian Machine Learning course of the MVA master's at ENS Paris-Saclay.

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nltk

NLTK Source

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numerical-tours

Numerical Tours of Signal Processing

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pronote-api

(Tout langage) API compatible Pronote 2020/2021

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scikit-learn

scikit-learn: machine learning in Python

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supervised_missing

Code for the paper "On the consistency of supervised learning with missing values"

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

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website_old

A modern static resume template and theme. Powered by Jekyll and GitHub pages.

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