This repository contains some assignments from the courses I completed during MVA (Mathématiques, Vision, Apprentissage) Master program (https://www.master-mva.com/) at ENS Paris-Saclay in 2023-2024.
| Course | Assignments |
|---|---|
| Computational Optimal Transport | Optimal Transport with Linear Programming Entropic Regularization of Optimal Transport |
| Convex Optimization | Convexity Duality LASSO |
| Foundations of Deep Learning | Bayesian Linear Regression Approximate Inference Uncertainty Applications |
| Object Recognition and Computer Vision | Instance-level Recognition Neural Networks Image classification on classifysketch dataset |
| Topological Data Analysis | Wasserstein Stability for Persistence Diagrams |
| Course | Assignments |
|---|---|
| Generative Models for Images | Texture Synthesis GAN and WGAN learning with a synthetic dataset DCGAN learning for MNIST Hierarchical VAE Inverse Problems Sampling and conditional sampling of a pretrained DDPM model PnP image deblurring with pre-learned denoisers PnP image deblurring with gradient-step denoiser |
| Graphs in Machine Learning | Spectral Clustering Semi-Supervised Learning Graph Neural Networks with JAX |
| Reinforcement Learning | Clinical data based optimal STI strategies for HIV Introduction to bandits Mountain Car: UCB-VI, Q-learning |
| Sequential Learning | Bernoulli bandits, Game theory |