mathurinm

A5G

WARNING: the code is no longer maintained. Use the celer package instead

python

alphacsc

Convolution dictionary learning for time-series

bayes_mxne

Mixed-norms and Hierarchical Bayesian models for the M/EEG inverse problem

BlitzML

BlockCoordinateDescent

Code for the paper "Let’s Make Block Coordinate Descent Go Fast"

copt

A Python library for mathematical optimization

cours_numba_2017

falkon

Large-scale, multi-GPU capable, kernel solver

Gap_Safe_Rules

Greed_Meets_Sparsity

experimental code

implicit_sparsity_neurips2019

Supplementary material for NeurIPS 2019 paper "Implicit Regularization for Optimal Sparse Recovery" (Tomas Vaškevičius, Varun Kanade, Patrick Rebeschini) https://arxiv.org/abs/1909.05122

inria-beamer

An INRIA beamer template

Lasso-l1-reweigthing

Algorithms for Lasso l1 reweigthing

lightning

Large-scale linear classification, regression and ranking in Python

MSRL

Repository for MSRL R pacakge

operalib

Learning with operator-valued kernels

OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

optox

OPerator TO any deep learning framework

pactools

Phase-amplitude coupling (PAC) toolbox

python-sessions

SAIF

scikit-learn-tutorial

smoothed_concomitant_lasso

sparse-ho

Fast hyperparameter settings for non-smooth estimators:

ssnal_elastic

Efficient python implementation of SsNAL method to solve the elastic net problem

StingyCD

stoch_bench

tdv

Total Deep Variation Regularizer

torch_itl

Pytorch compatible package for integral loss minimization