Since high school, I’ve worked on several personal projects and as part of my coursework. Here is a selection, among those that can be shown.
Forked from a public repository, I improved and extended the data set on the Tour de France. The data set now includes every informations you can find on the official website of the Tour de France.
This project is an implementation of the paper Wavelet Integrated CNNs for Noise Robust Image Classification which aims to improve the robustness of convolutional neural networks (CNNs) for image classification tasks, particularly for noisy images.
Ce projet explore la mise en œuvre et la comparaison des Conditions aux Limites Absorbantes (ABC) et des Couches Parfaitement Jumelées (PML) pour résoudre des équations d’ondes quantiques, telles que l’équation de Schrödinger.
This project was developed as part of the TIPE (Travail d’Initiative Personnelle Encadré) program in France. The goal was to implement a facial recognition system from scratch using Python and OpenCV.