School-projects

This repository gathers some projects I have done during my studies at ENSEEIHT and ENAC.

Project Overview

Artificial Intelligence

Lab works covering various machine learning and deep learning topics, including:

• Generative Adversarial Networks (GANs)
• Retrieval-Augmented Generation (RAG)
• Autoencoders
• Object detection
• Text classification
• Text generation

Advanced Combinatorial Optimization

Lab works focused on advanced optimization techniques:

• Benders decomposition
• Branch-and-price
• Lagrangian relaxation

Computer vision

Projects on:

• Geometric modeling: Medial axis extraction from multiple foreground–background images for surface mesh reconstruction
• Image processing: Image mosaicing using multiple images containing overlapping regions

Deep Learning Project

• Object detection project using the YOLO (You Only Look Once) architecture.

Deterministic Global Optimization

Lab work on:

• Mathematical formulation of operations research problems
• Implementation and use of optimization solvers

Operations Research

Lab works on:

• Formulation of classical operations research problems
• Branch-and-bound methods

Optimization for Machine Learning

Lab works on first-order optimization methods:

• Gradient descent and its variants

Optimization Project

Project including:

• Unconstrained optimization using Newton’s method and trust-region methods
• Constrained optimization using the augmented Lagrangian method

Partial Differential Equations

Project focused on:

• Finite Element Method (FEM) implementation