aperezlebel Goto Github PK
Name: Alexandre Perez-Lebel
Type: User
Company: Inria Saclay
Bio: ML PhD student at Inria.
Twitter: aperezlebel
Location: Stanford
Blog: perez-lebel.com
Name: Alexandre Perez-Lebel
Type: User
Company: Inria Saclay
Bio: ML PhD student at Inria.
Twitter: aperezlebel
Location: Stanford
Blog: perez-lebel.com
My personal website based on alshedivat/al-folio template.
Code of the experiments ran in our GigaScience article: "Benchmarking missing-values approaches for predictive models on health databases".
Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.
Hosting the scikit-learn blog.
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.
List of Computer Science courses with video lectures.
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.
Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neural nerworks".
Development repository for the glest package.
Optimization hackathon proposed by LocalSolver. Implemented simulated annealing algorithm.
The goal is to study the impact of meta-analysis priors on prediction performance.
This notebook gathers and explains some well known neuroimaging meta-analysis techniques, discusses their limitations and applies them to real fMRI data.
Implement a stochastic optimization algorithm in the traveling salesman problem.
Group project for the Bayesian Machine Learning course of the MVA master's at ENS Paris-Saclay.
Optimal transport project as part of Gabriel Peyré's course.
NeuroData Science Lab Website
Coordinate- and image-based meta-analysis in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.