A collection of Nonnegative Matrix and Tensor Factorizations models with further applications to Multi-modal Data Analysis and Blind Source Separation and Sensor Fusion Problems, implemented with Pytorch.
- PyTorch == 1.0.0 and it's dependences
 - skimage
 - Pandas
 - ipypb
 
    see examples.ipynb
Here is a result of the inverse transform of a factorized image
- 
Andrzej Cichocki Rafal Zdunek Anh Huy Phan Shun‐Ichi Amari, Nonnegative Matrix and Tensor Factorizations
 - 
https://perso.telecom-paristech.fr/essid/teach/NMF_tutorial_ICME-2014.pdf
 - 
http://pmelchior.net/blog/proximal-matrix-factorization-in-pytorch.html
 
- Basic NMF model with 2 solvers
 - ALS, HALS solvers, and advanced objectives
 - More Examples
 - Nonegative Tensor Factorisation
 - Tests
 - Setup.py
 - Nonrandom initialization.
 
