MODL: Massive Online Dictionary Learning

MODL is a Python package that allows one to perform sparse / dense matrix factorization on fully-observed/missing data very efficiently, by leveraging random sampling with online learning. It is able to factorize matrices of terabyte scale with hundreds of components in the latent space in a few hours. The package implements two papers by Mensch et al. 2016, 2017.