nonnegative-matrix-factorization
There are 2 repositories under nonnegative-matrix-factorization topic.
mims-harvard / nimfa
Nimfa: Nonnegative matrix factorization in Python
Language:Python 553- Language:R 421
hiroyuki-kasai / NMFLibrary
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
clustering-algorithmconstrained-optimizationdata-analysisdivergencegradient-descentmatlab-toolboxmatrix-factorizationnmfnonnegative-matrix-factorizationnonnegativity-constraintsonline-learningoptimization-algorithmsorthogonalprobabilistic-matrix-factorizationrobust-optimizationsparse-representationsstochastic-optimizersLanguage:MATLAB 335yoyolicoris / pytorch-NMF
A pytorch package for non-negative matrix factorization.
Language:Python 242- Language:Python 118
- Language:Jupyter Notebook 117
yanwu2014 / swne
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
Language:R 106Xinyu-Wang / SGSNMF_TGRS
X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.
Language:MATLAB 48baggepinnen / TotalLeastSquares.jl
Solve many kinds of least-squares and matrix-recovery problems
estimationleast-squaresleast-square-regressionlinear-regressionerrors-in-variablestotal-least-squaresingular-value-decompositionrobust-pcarobust-regresssionrobust-estimationrobust-statisticsmatrix-completionmissing-dataimputationmissing-data-imputationnonnegative-matrix-factorizationoutlier-detectionLanguage:Julia 33- Language:Python 24
gogolgrind / PyTorchNMTF
NMF/NTF with Pytorch
Language:Python 17ChavoshiNejad / S4NMF
Self-supervised semi-supervised nonnegative matrix factorization for data clustering
Language:Jupyter Notebook 16- BEAR
NICALab / BEAR
Official code for BEAR. "Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data", MICCAI 2021.
Language:Jupyter Notebook 16 huspark / nonnegative-matrix-factorization
A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.
Language:Python 13istat-methodology / TopicModelingLab
A review of the most popular topic modeling techniques, featuring hands-on tutorials.
Language:Jupyter Notebook 12- tcd-ai-group-project
tulsyanp / tcd-ai-group-project
Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors
Language:Python 12 amjadseyedi / EADNMF
Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion
Language:Python 11- Language:Jupyter Notebook 11
salar96 / MEP-Orthogonal-NMF
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
Language:Jupyter Notebook 11fausa / Bias_Detection_in_Journalism
A Natural Language Processing Project: Use NewsAPI to gather URL's of news articles, along with webscraping, gather news articles and generate a bias classifier to then run on news sources that are considered "centered" by AllSides Media to determine the validity of that classification.
Language:Jupyter Notebook 10eozd / bnmf-algs
Nonnegative matrix factorization and matrix allocation algorithm implementations in C++
Language:C++ 8egeminiani / nmf-image-compression
A gentle introduction to nonnegative matrix factorization (NMF), with an application to image compression :framed_picture: :performing_arts: :art:
Language:HTML 7tbrunetti / NMF_unsupervised_clustering
Non-Negative Matrix Factorization for Gene Expression Clustering
Language:Python 7Asymmetric Semi-Nonnegative Matrix Factorization for Directed Graph Clustering
Language:MATLAB 5barkhoda / iDRNMF
Python Implementation of the Instance-wise Distributionally Robust Nonnegative Matrix Factorization (iDRNMF)
Language:Python 5iivek / sparse-synthextures
Texture synthesis based on sparse representation.
Language:MATLAB 5mmxgn / smooth-convex-kl-nmf
Repository holding various implementation of specific NMF methods for speaker diarization
Language:Python 5- tinytopics
nanxstats / tinytopics
GPU-accelerated topic modeling via sum-to-one constrained neural Poisson NMF with PyTorch
Language:Python 5 XiangfeiShen / IEEE_TGRS_2021_HyperWeak
Source code for the paper titled "Towards Weak Signal Analysis in Hyperspectral Data: A Semi-supervised Unmixing Perspective"
Language:MATLAB 4maximilianbehr / cuNMF
Nonnegative matrix factorizations using CUDA
Language:Cuda 3- Language:Python 2
Harish-or-Peter / -Topic-Modeling-and-Text-Analysis-Project
This project showcases an end-to-end workflow for topic modeling and text analysis using a variety of machine learning and natural language processing techniques. The goal of this project is to extract meaningful topics from a collection of text documents, enabling insights, categorization, and understanding of the underlying themes in the data.
Language:Jupyter Notebook 2MATLAB code for stochastic variance reduced multiplicative updates (SVRMU) for NMF 1.0.0
joanagoncalveslab / SNMF
SNMF: Integrated Learning of Mutational Signatures and Prediction of DNA Repair Deficiencies by Goossens S, Tepeli YI, Seale C, and Gonçalves JP (bioRxiv 2024)
Language:Jupyter Notebook 2tomaszsadowski / Data-Completion-Toolbox-matlab
Toolbox allows to test and compare methods for Image Completion and Data Completion problems in Matlab. Presented methods use various Nonnegative Matrix Factorization and Tensor decomposition algorithms. It was based on research performed during realization of PhD.
Language:MATLAB 2MohamedNassih / Semi-supervised-spectral-unmixing-for-the-DLR-HySpex-dataset
Plate-forme Python modulaire pour l’analyse et le démélange spectral semi-supervisé d’images hyperspectrales HySpex (jeu de données DLR HySU). Elle combine : un pipeline NMF pour extraire endmembers + abondances ; un VAE convolutionnel semi-supervisé pour la classification de patchs ; des outils de pré-traitement et visualisation (RMSE, SAD, SID
Language:Jupyter Notebook 1
