Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization." ...
The first step is to choose a suitable framework for implementing and training your matrix factorization model. There are many frameworks available, such as TensorFlow, PyTorch, Scikit-Learn, or ...
The Python package I mainly use is TensorLy. _____ Excerpts: [The pyTensorlab provides a broad collection of algorithms for computing the canonical polyadic decomposition (CPD), multilinear singular ...
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