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#

non-negative-matrix-factorization

Here are 99 public repositories matching this topic...

OCTISCoGAPS

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."

  • UpdatedSep 1, 2019
  • Python

This repository provides Python implementations for Non-negative Matrix Factorization (NMF) using the Multiplicative Update (MU) algorithm. Two initialization methods are supported: random initialization and Non-negative Double Singular Value Decomposition (NNDSVD). NMF is a matrix factorization technique used in various fields, including topic mod

  • UpdatedOct 8, 2024
  • Jupyter Notebook

Codes and data coming with article "A Survey and an Extensive Evaluation of Popular Audio Declipping Methods", and others closely related

  • UpdatedOct 16, 2023
  • MATLAB

Non-negative Matrix Factorization (NMF) Tensorflow Implementation

  • UpdatedMay 7, 2018
  • Python

Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)

  • UpdatedOct 19, 2018
  • Python

Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)

  • UpdatedMay 16, 2025
  • Jupyter Notebook

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]

  • UpdatedAug 12, 2025
  • Python

An algorithm for unsupervised discovery of sequential structure

  • UpdatedAug 7, 2018
  • Python

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 estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

  • UpdatedOct 8, 2025
  • Python

Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)

  • UpdatedNov 15, 2023
  • Jupyter Notebook

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".

  • UpdatedNov 12, 2023
  • Jupyter Notebook

A blind source separation package using non-negative matrix factorization and non-negative ICA

  • UpdatedMay 31, 2021
  • Python

Coupled clustering of single cell genomic data

  • UpdatedSep 21, 2021
  • Python

Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm

  • UpdatedJun 7, 2021
  • Jupyter Notebook

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