Python implementation of Gaussian Mixture Model for 2D dataset using Gibbs + Metropolis+Hasting sampling.
This is conducted as an assignment of AI701 Bayesian Machine Learning course in GSAI, KAIST.
Check out instruction, report, and implementation for details.