A Python implementation of mixed membership stochastic block models (MMSBM) for recommender systems, based on the work by Godoy-Lorite et al. (2016). This library provides an efficient, vectorized implementation suitable for both research and production environments.

The code, by Eudald Correig, is available from this Github repository.