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
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Andrzej Cichocki Rafal Zdunek Anh Huy Phan Shun‐Ichi Amari, Nonnegative Matrix and Tensor Factorizations
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https://perso.telecom-paristech.fr/essid/teach/NMF_tutorial_ICME-2014.pdf
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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.