non-negative-matrix-factorization
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OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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Nov 24, 2025 - Python
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
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Jul 11, 2022
Bayesian MCMC matrix factorization algorithm
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Sep 19, 2025 - C++
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."
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Sep 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
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Oct 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
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Oct 16, 2023 - MATLAB
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
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May 7, 2018 - Python
Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
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Oct 19, 2018 - Python
Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)
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May 16, 2025 - Jupyter Notebook
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]
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Aug 12, 2025 - Python
An algorithm for unsupervised discovery of sequential structure
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Aug 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.
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Oct 8, 2025 - Python
Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)
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Nov 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".
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Nov 12, 2023 - Jupyter Notebook
A blind source separation package using non-negative matrix factorization and non-negative ICA
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May 31, 2021 - Python
Coupled clustering of single cell genomic data
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Sep 21, 2021 - Python
Topic modeling streamlit app.
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Sep 7, 2024 - Python
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Dec 29, 2020 - Jupyter Notebook
Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm
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Jun 7, 2021 - Jupyter Notebook
PyTorch implementations of the beta divergence loss.
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Jan 31, 2022 - Python
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