Blind source separation and matrix factorization

pyGMCALab  contains implementations of all the sparse matrix factorization algorithms developed in the lab.

GMCALab  implements a simple but yet effective sparse BSS method (in Matlab)

nGMCALab extension of the GMCA algorithm for Non-negative Matrix Factorization (in Matlab and Python)

Multiscale respresentation in manifolds and applications in imaging

pyMRManifold (will be available soon)