non-negative-matrix-factorization

jonaschn/awesome-topic-models

✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

FertigLab/CoGAPS

Bayesian MCMC matrix factorization algorithm

neel-dey/robust-nmf

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."

ahmadvh/Non-Negative-Matrix-factorization---Implemented-in-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

rajmic/declipping2020_codes

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

eesungkim/NMF-Tensorflow

Non-negative Matrix Factorization (NMF) Tensorflow Implementation

satwik77/libnmf

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

welch-lab/pyliger

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

PhysiologicAILab/FactorizePhys

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

ContextLab/seqnmf

An algorithm for unsupervised discovery of sequential structure

poyentung/sigma

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

lanl/T-ELF

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.

neel-dey/robustNTF

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".

marcromani/cocktail

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

SUwonglab/CoupledNMF

Coupled clustering of single cell genomic data

bpw1621/streamlit-topic-modeling

Topic modeling streamlit app.

DEIB-GECO/NMTF-DrugRepositioning

alejandrods/Analysis-of-the-robustness-of-NMF-algorithms

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

maryram/DiffStru

An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"

wecarsoniv/beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

aliceagrawal/HM-Recommender-System-App

Built a collaborative filtering and content-based recommendation/recommender system specific to H&M using the Surprise library and cosine similarity to generate similarity and distance-based recommendations.

jennalandy/bayesNMF

R package for bayesNMf, a computationally efficient Gibbs sampler for Bayesian Poisson NMF which automatically determines the number of latent factors while quantifying uncertainties of the learned matrices.

PhysiologicAILab/MMRPhys

Multi-Modal Multi-Task Remote Physiological Sensing

mmahesh/cocain-bpg-matrix-factorization

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

duhaime/nmf

Non-Negative Matrix Factorization

pranayshyamkuwar/NMF-For-Classification-of-Defects-on-Steel-Surface-

Non-negative matrix factorization is applied for classification of defects on steel surface using CNN

Saeidhoseinipour/NMTFcoclust

Co-clustering algorithms can seek homogeneous sub-matrices into a dyadic data matrix, such as a document-word matrix.

THUMNLab/M-NMF

This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).

ylaboratory/ALPINE

ALPINE is a semi-supervised non-negative matrix factorization (NMF) framework designed to effectively distinguish between multiple phenotypic conditions based on shared biological factors, while also providing direct interpretability of condition-associated genes. The preprint is available on bioRxiv.

zhangzibin/cu-nmf

Non-negative Matrix Factorization based on cuda, with sparse matrix as input.

akhsassoualid/Headline_Recommender

The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.

arpitamangal/fill-missing-values-of-SST

Filling in missing values of Sea Surface Temperature

jonperk318/machine-learning-analysis-of-hyperspectral-data

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

lanl/DnMFk

A C++ framework of Distributed Non-Negative Matrix Factorization implementation to find Latent Dimensionality in Big Data

xianchen2/Topic_Modeling

Python implementation of Non-negative Matrix Factorization