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Name: Chloe-Agathe Azencott
Type: User
Bio: Researcher at MINES ParisTech (Paris, France)
Location: Paris
Blog: http://cazencott.info
Name: Chloe-Agathe Azencott
Type: User
Bio: Researcher at MINES ParisTech (Paris, France)
Location: Paris
Blog: http://cazencott.info
Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
Notebooks for my course on feature selection in high dimension at the CIMPA Lomé 2021 school
Process CMT files into PMLR proceedings
Notebooks pour le module "Fondamentaux du Machine Learning" de la formation Chef de Projet IA (2022)
Notebook for the session on machine learning for genetic data at the 2018 Data Science Summer School.
A C and CUDA implementation of tabulating linear regression for an exhaustive pairwise interaction search on a CUDA enabled GPU (Kam-Thong et al., 2012) http://goo.gl/XE54ir
Mozilla Open Science mini-grant
Intro to ML labs for the HPC-AI MSc 2019-2020
Learn interpretable computational phenotyping models from k-merized genomic data
Practical sessions for the 2019 Large Scale Machine Learning course at MINES ParisTech
Practical sessions for the 2020 Large Scale Machine Learning course at MINES ParisTech
Practical sessions of the LSML 2018 course
Notebooks for the 2021 course on Large Scale Machine Learning at Mines ParisTech
Notebooks for the 2021 course on Large Scale Machine Learning at Mines Paris
Labs for the Large Scale Machine Learning & Data Mining PSL Week 2024 at Mines Paris - PSL
Foundations of Machine Learning course at CentraleSupelec (Fall 2016)
Introduction to Machine Learning at CentraleSupelec (Fall 2017)
Hands on session for the day on GWAS in the context of the PSL Intensive Week on ML and Genomics 2022
Some machine learning notebooks
Small tests for data analysis skills
A parametric maxflow implementation
Practical session at the 2017 Microbiome Summer School
3 x 3 hours introduction to Python, Jupyter, numpy, pandas and dataviz
Build sample-specific co-expression networks.
scikit-learn: machine learning in Python
Using set covering machines for genome-wide association studies
Cours « science des données » à Mines ParisTech (2019-2020)
Cours de science des données en 1A à Mines ParisTech, année 2020-2021.
Cours de science des données en 1A à Mines Paris - PSL (2024)
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.