Backpack LMs provide a flexible interface for interpretability and control in language modeling by explicitly encoding multiple senses for words. This project aimed at extending Backpack LMs to multilingual settings.
Achieved: July - October 2024
This model is a fine-tuned version of GPT-2 using LoRA (Low-Rank Adaptation) to generate quotes based on a custom dataset. It is designed to create meaningful and inspirational quotes.
Achieved: July 2024
This epidemiology project was completed as part of the MMED 2024, a two-week modeling clinic that focuses on using data to understand infectious disease dynamics and modeling.
Achieved: June 2024
A recommender system built from scratch based on collaboration filtering algorithm in Python using NumPy library
Achieved: April 2024
Fine-tuning the BLOOM-250M, a Hugging Face's LLM for question-answering task
Achieved: April 2024
Implement two deep learning approaches for classify bird sounds.
Achieved: February 2024
Implémentation, de zéro jusqu'à la fin, d'une méthode d'éléments finis non conformes de Crouzeix-Raviart pour résoudre le cas dynamique problème de la chaleur
Achieved: September 2022