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)