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Alexandre Perez-Lebel's Projects

benchmark_mv_approaches icon benchmark_mv_approaches

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

beyond_calibration icon beyond_calibration

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

blog icon blog

Hosting the scikit-learn blog.

brain_mapping icon 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.

givemesomecredit icon givemesomecredit

Predict whether a bank's client will be able to repay to the bank the given loan knowing some of their information. Taken from Kaggle https://www.kaggle.com/c/GiveMeSomeCredit.

glest icon glest

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

glest_dev icon glest_dev

Development repository for the glest package.

kiro2018 icon kiro2018

Optimization hackathon proposed by LocalSolver. Implemented simulated annealing algorithm.

meta_analysis icon meta_analysis

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

meta_analysis_notebook icon 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.

mopsi icon mopsi

Implement a stochastic optimization algorithm in the traveling salesman problem.

mva_bml_project icon mva_bml_project

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

nimare icon nimare

Coordinate- and image-based meta-analysis in Python

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