ngazagna

linux_tricks

This is a list of practical links and tricks in Unix environments.

ngazagna.github.io

My academic website

ngazagna.github.io_old

My professional website.

plotOpt

A suite of functions to plot and visualize optimization algorithms, especially stochastic ones.

sadi

Sketch-and-Project variants of ADI methods for solving the Peaceman-Rachford problem and Sylvester matrix equations.

AWS_EC2_teaching_tricks

This repository lists useful tricks when one uses AWS EC2 as a teaching tools.

basic_github_tutorial

Basic tutorial on git + hosting service (e.g. Github) for people collaborating on a shared project.

benchmark_logreg_l2

Benchopt benchmark for L2-regularized Logistic Regression

benchmark_logreg_l2_validation

benchmark_stochastic_logreg_l2

benchOpt

Making your benchmark of optimization algorithms simple and open

example

LapDepth-release

Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

minted

minted is a LaTeX package that provides syntax highlighting using the Pygments library. Highlighted source code can be customized using fancyvrb.

new_website

OrganizationFiles

oscillations-qat

RidgeSketch

A Fast sketching based solver for large scale ridge regression

safe_grid_search

Approximation path and optimal selection of regularization hyperparameter for some machine learning problems.

theme-academic-cv