A pytorch package for non-negative matrix factorization.
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Updated
Jul 25, 2024 - Python
A pytorch package for non-negative matrix factorization.
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".
PyTorch implementations of the beta divergence loss.
Coresets for scalable robust pseudo-Bayesian inference
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