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🚧 working on the resume 🚧

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My nicest projects 🥳

  • 🚧 Gomoku - Gomoku game interface to play)against an intelligent agent (Python)
  • DSLR - One vs all method for)multi-classification problem to replace the sorting hat at Hogwarts (Python)
  • Corewar - Memory arena to fight between)programs (C)
  • Fractol - Dive into 2D fractals)representation (C)

42 curriculum

My projects:

  • 🚧 Quanfima 🚧   - ... - Instance Detection ...,
  • 🚧 CardGrader 🚧   - ... - OpenCV, Edge Detection ...,
  • 🚧 ModeTis 🚧   - ... - Times series, ARIMA, model selection ...,

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Matthieu DAVID's Projects

42_computorv1 icon 42_computorv1

[42 curriculum] Polynomial equation explicit resolution solver. For zeroth, first and second order polynomial equation (+ third order as a bonus) program solver.

42_corewar icon 42_corewar

"In this project, you will create a virtual “arena” in which programs will fight against one another (the “Champions”). You will also create an assembler to compile those Champions as well as a Champion to show the world that you can create life from coffee." [from 42 subject]

42_dslr icon 42_dslr

Basic project about logistic regression. The goal is to implement from scratch a One vs All model. [Machine Learning] + [Supervised Learning] + [One vs All model]

42_fdf icon 42_fdf

Projet graphique permettant de représenter le maillage en fils de fer d'un terrain en 3D. Graphical project. The program represents the wire mesh of 3D map.

42_fillit icon 42_fillit

Fillit est un projet permettant de découvrir et/ou de vous familiariser avec une problématique récurrente en programmation via la manipulation de tetriminos.

42_fractol icon 42_fractol

Ce projet consiste à créer un petit logiciel d’exploration fractale.

42_ft_linear_regression icon 42_ft_linear_regression

(42 project) This project will be your first steps into AI and Machine Learning. You're going to start with a simple, basic machine learning algorithm. You will have to create a program that predicts the price of a car by using a linear function train with a gradient descent algorithm.

42_get_next_line icon 42_get_next_line

Qu'il s'agisse d'un fichier, de l'entrée standard, ou même plus tard d'une connexion réseau, vous aurez toujours besoin de lire du contenu ligne par ligne. Il est donc temps de vous attaquer à cette fonction, indispensable pour un certain nombre de vos prochains projets.

42_gomoku icon 42_gomoku

Gomoku is a game which is played on Go board. The objectives of the project is to develop an agent capable to beat human player. Across the project we tackle minimax algo, heuristic function, optimization and user interface.

42_internship_1 icon 42_internship_1

In the 42 curriculum we have the opportunity to perform one (or two) internship. This repository contains a part of the work realised during the 6 months in Natixis Bank in the Antifraud team.

42_lem_in icon 42_lem_in

Algorithm project approaching graph theory by treating maximum flow problem

42_libft icon 42_libft

Implentation d'un certain nombre de fonctions de la librairie C standard, ainsi que d'autres fonctions utilitaires qui seront réutilisées qu sein d'autres projets de 42.

42_ml_modules icon 42_ml_modules

[42 curriculum] One week to learn basics in Machine Learning! 🤖 (well, as one of the authors, It was just to get the XP because the pedago of 42Paris was too slow to give it to me). This project is a Machine Learning bootcamp created by 42 AI.

42_wolf3d icon 42_wolf3d

Inspired by Wolfenstein famous game from the 90's. The goal is to be able to represent a dynamic view inside a maze using ray-casting method.

benchmark_aj-effisciences icon benchmark_aj-effisciences

Project realised during the hackathon organised by Aligment Jams hosted by Cooperative AI Foundation and Apart Research with Lewis Hammond and Esben Kran.

devinterp icon devinterp

Tools for studying developmental interpretability in neural networks.

goal_visu_rl icon goal_visu_rl

Reimplementation of the interpretability tools describe in **Goal Misgeneralization in Deep Reinforcement Learning** (https://arxiv.org/pdf/2105.14111.pdf)

master2_internship icon master2_internship

Modélisation ab-initio des processus de diffusion lors de la croissance des films minces de nitrures métalliques: TiN et AlN

mathematics-for-machine-learning icon mathematics-for-machine-learning

A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.

ml_module_01 icon ml_module_01

[42 curriculum] The goal of this module is to get started with the basics of linear regression. You will study, in the field of machine learning, what we call an hypothesis, cost function, gradient descent and some notions of feature scaling.

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