The goal of this project is to use an AI based method to estimate the true covariance matrix of a d dimensional stochastic process. This task is often referred to as "covariance shrinkage" and a lot of literature has been written on this topic, whose mathematical foundations lie in random matrix theory (RMT). The problem is the following : having a set of d time series, and N observations, if...