our tutorial implementations while learning programming in hpc, using multiple Parallelization libraries like CUDA, MPI, POSIX and OpenMP

TPs sur les sockets, RPC, RMI, threads etc.. (module SYSD)

Suzuki Kasami token based mutual exclusion (improvement of LANN and Ricart Agrawala algorithms) with peer-to-peer TCP sockets and multithreading

frontend dashboard for suzuki kasami low level implementation (integrated with websockets)

A sophisticated data processing and machine learning pipeline for agricultural datasets (Advanced Databases Course Lab // TP BDA)

Our code developed during the labs in our 4th year intelligent communication systems course

Generation Hyper-Heuristic Framework for Finetuning ACO Parameters (Projet OPTIM 2CS SIQ)

this is the repo where i'll be sharing gradually our labs from the machine learning course in uni

the implementation for several combinatorial optimization techniques in the optimization course (2CS-SQ OPTIM))

IoT course project

A collection of jupyter notebooks and algorithms i built when learning several concepts of supervised learning

This is an implementation of the famous traveler salesman problem (implementing the brut force and the heuristic method and comparing between them in terms of the resulting path and execution time)

A solution to the Knapsack Problem. The implementation allows users to determine the maximum value of items that can be carried in a knapsack with a given weight capacity.

the first lab in programming theory course

Last Part of Summer Internship: This repo contains python scripts that retrieves multiple sensors readings via a Raspberry Pi 4, and then publish the values into the adequate topics of the MQTT bro…

Savantia is a scientific articles search engine. This is the backend repository for our project in the "introduction to software engineering" course we take in the 3rd year of our computer science …

a collection of datacamp projects exploring data manipulation, pre processing and visualization

3 datacamp projects going each through the whole process of building a ML model, from the data preparation and manipulation to building both a supervised learning model and a deep learning model

this is a datacamp project that use knowledge for 2 courses that i have done in datacamp : unsupervised learning, and intro to NLP in python, more details will be find in the readme file

this is my very first flutter app, basic one just to learn and to discover

Savantia is a scientific articles search engine. the frontend repository for our project in the "introduction to software engineering" course we take in the 3rd year of our computer science degree …

an online marketplace built using django

a bot that provides weather information when users request it, built it during learning bots developement using Discord.js

TP1 ALSDD

TP POO

- learning java and OOP in particular