🎓 Master MVA @ ENS Paris-Saclay Portfolio 🚀
Welcome to the GitHub repository showcasing my work during my academic journey in the Master MVA (Mathématiques, Vision, Apprentissage) program at École Normale Supérieure Paris-Saclay! 📚
📂 Folder Structure:
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convex-optim: Convex optimization and applications in machine learning class held at ENS Ulm by Alexandre d'Aspremont (CNRS & Ecole Polytechnique)
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proba-graph-models: Probabilistic Graphical Models and Deep Generative Models class held by Pierre Latouche and Pierre-Alexandre Mattei (UCA+Ecole Polytechnique, INRIA). The project on the subject of score-based generative modeling.
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turing: Project untitled: "Why does Deep Learning work so well ? An attempt at an explanation", done as part of Turing Seminar – An introduction to AGI Safety.