OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)
spectral interpretation using gaussian mixtures and autoencoder
Optimization and Regularization variants of NMF
Non-Negative Matrix Factorization
PyTorch implementations of the beta divergence loss.
