ludovicsterlin Goto Github PK

advent-of-code-2020

Resolution of the puzzles from https://adventofcode.com/2020

advent-of-code-2023

agnoster-zsh-theme

A fork of agnoster-zsh-theme, that show git root, if in a git folder, otherwise ~

alarms-rl

Implementation of am openai gym like toy_text representing an game where you need to turn off alarms

back2python

A quick way to be back on track with Python 3

calendar-slot

Simple JS script to see slot in a .ical that are always availables through the month.

config-files

Versioning my config files

deep-learning

Deep Learning section of the Algorithms in Machine Learning class at ISAE-Supaero

directus

The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.

hackaviz2021

Les données de l'Hackaviz2021

held-karp

Notebook on Travelling salesman problem using Held Karp's algorithm

imagery-in-depth-sdd

In depth class of SDD on imagery, given by Thomas Oberlin

inquirer.js

A collection of common interactive command line user interfaces.

julia_notebooks

Julia Jupyter/Colab Notebooks

ludovicsterlin

My GitHub profile homepage

ludovicsterlin.github.io

my personal site

matb

modified MATB

ml-class-anomaly-detection

Course materials for Algorithms in Machine Learning: Anomaly Detection at ISAE-SUPAERO.

ml-class-dimensionality-reduction

Course materials for Algorithms in Machine Learning: Dimensionality Reduction at ISAE-SUPAERO.

nia-ai-tools

Third part of the Neuroergonomics and AI class

obd

Tools of Big Data (Outils de Big Data)

planemodel

PlaneModel environment for RL

pnpm-syncpack

Minimalist example of a pnpm monorepo using workspace protocol (workspace:) with syncpack to verify the versions are matching

portfolio

🔥 The Complete Customizable Software Developer Portfolio Template which lets you showcase your work and provides each and every detail about you as Software Developer.

reinforcement-learning

Reinforcement Learning class

sd-stochastic-optimization-project

An interactive notebook quickly exploring the paper Evolving Controllably Difficult Datasets for Clustering and the related package HAWKS. Examination part of the Stochastic Optimization class.

sdd-aml-evaluation-interpretml

A notebook exploring the paper "InterpretML: A Unified Framework for Machine Learning Interpretability" (H. Nori, S. Jenkins, P. Koch, and R. Caruana 2019).

skytools

Sequential relative work random and blocks training tool

ssd-aml-modele-lineaire

All exercises that were done during class "Modele Lineaire" of Algorithm in Machine Learning module

stochastic

FSD301 SD Tronc Commun - Optimisation Stochastique