Report Introduction The project, undertaken with Delabarre Luca and Nemo Fabrice, aimed to train a large language model (LLM) for assisting students in understanding EPFL course materials. This initiative sought to provide quick, detailed answers without human interaction, thereby streamlining the educational process. ...

GitHub Repository Report Introduction In the Spring Semester of 2023 we embarked, with Romain Birling, on a mini-project as part of the Artificial Neural Networks/Reinforcement Learning course at EPFL. Our focus was on Deep Q-learning for Epidemic Mitigation, aiming to study the impact of different policies on epidemic control. ...

GitHub Repository Introduction In the Large-Scale Data Science for Real-World Data course at EPFL, our team embarked on a project to build a reliable public transport route planner. The SBB Journey Planner aims to offer robust journey planning options, considering the probability of on-time arrivals and departures. ...

GitHub Repository Report Introduction As data scientists and researchers, we are constantly seeking ways to push the boundaries of accuracy and efficiency in various domains. In the field of medical image processing, the accuracy of age prediction based on anatomical features can have significant implications for diagnosing and understanding age-related conditions. In this project, we embarked on a journey to optimize biological age prediction from brain anatomical volume measurements. Our goal was to determine whether splitting patients into subgroups and developing prediction models for each subgroup could improve the accuracy of age prediction compared to a global prediction model. ...

GitHub Repository Report Introduction The project, conducted with Manon Dorster and Alexandre Maillard, aimed to apply machine learning techniques to CERN particle accelerator data to identify Higgs boson events among multiple proton collisions. This project was part of the Machine Learning course (CS-433) at EPFL. ...