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".

Collection of basic and advanced Tensor Algebra operations using Matlab and Python.

[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis

Canonical Decomposition of Data-Independent-Acquired Spectra

R package SDA4D for performing 4-dimensional sparse Bayesian tensor decomposition

PCA for UV-VIS Spectroscopy, PARAFAC for spectrofluorimetry

Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction

PARAFAC2 for modeling multi-sample single-cell RNAseq.

Weighted orthogonal non-negative (WON) parallel factor analsyis (PARAFAC)

Implements the code from the publication A distributed proximal gradient descent methods for tensor completion

Java library of multi-way algorithms.