mathurinm

celer

Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

libsvmdata

Python package to fetch data from the LIBSVM website.

example_package

latex

github-assignment

skglm

Fast and modular sklearn replacement for generalized linear models

benchmark_imagenet

benchmark_cox

Benchmark of Cox Estimation for survival analysis

benchmark_lasso

Benchopt benchmark for Lasso

benchmark_linear_svm_binary_classif_no_intercept

Benchopt Benchmark for SVM for binary classification

benchmark_logreg_l1

Benchopt benchmark for Sparse Logistic Regression

benchmark_nnls

Benchopt benchmark for Non-negative Least Square

benchmark_quantile_regression

Benchopt benchmark for Quantile Regression

benchmark_ridge

Benchopt benchmark for Ridge regression

benchmark_tv_1d

TV Denoising in 1D

benchmark_tv_2d

TV-regularized problem in 2D

benchopt

benchopt.github.io

computorg.github.io

source of the organisation website

datacamp-olympics

deepinv

PyTorch library for solving imaging inverse problems using deep learning

group-lasso

Group Lasso implementation following the scikit-learn API

lifelines

Survival analysis in Python

mathurinm.github.io

pylearn-parsimony

Structured Machine Learning in Python

pyslope

Basic Python Toolbox for SLOPE

results

BenchOpt benchmark results

scikit-learn

scikit-learn: machine learning in Python

template_benchmark

TorchDR