AI-curious. Research interests: LLM, Multimodal, Agents, Speech CentraleSupélec 🇫🇷 MLMI, Cambridge 🇬🇧
colpali-cookbooks. Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻🍳
357AirFrance-Seating-Optimization. Projet d'optimisation des placements de passagers dans un avion, supervisé par AirFrance-KLM.
5image-matching-triplet-loss. Tensorflow implementation of Image Matching with Triplet Loss on the Tiny ImageNet dataset.
4delivery-cs. Projet d'optimisation de la logistique d'une entreprise de livraison à Paris dans le cadre du Datathon organisé par BCG Gamma avec CentraleSupélec.
3multi-label-email-classifier. Multi-label classifier that can classify an email into eight classes based on the metadata extracted from the email.
2distilling-and-forgetting-in-large-pre-trained-models. Code for my dissertation on "Distilling and Forgetting in Large Pre-Trained Models" for the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge.
2neural-processes. Replication of the "Conditional Neural Processes" (2018) and "Neural Processes" (2018) papers by Garnelo et al.
1vision-transformer. Tensorflow implementation of Image Classification with Vision Transformer on the MNIST dataset.
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