non-negative-matrix-factorization

There are 2 repositories under non-negative-matrix-factorization topic.

OCTIS
MIND-Lab / OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
topic-modeling latent-dirichlet-allocation latent-semantic-analysis evaluation-metrics natural-language-processing non-negative-matrix-factorization neural-topic-models bayesian-optimization hyperparameter-optimization hyperparameter-tuning hyperparameter-search topic-models nlp nlproc nlp-library
Language:Python 783
jonaschn / awesome-topic-models
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
awesome topic-modeling awesome-list topic-models topic-model nlp text-mining latent-dirichlet-allocation latent-semantic-analysis truncated-svd non-negative-matrix-factorization hierarchical-dirichlet-processes dynamic-topic-modeling author-topic-model labeled-lda dirichlet-multinomial dirichlet-process-mixtures sentence-lda
93
CoGAPS
FertigLab / CoGAPS
Bayesian MCMC matrix factorization algorithm
bioinformatics single-cell-rna-seq non-negative-matrix-factorization human-cell-atlas bayesian-inference machine-learning
Language:C++ 68
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."
matrix-factorization non-negative-matrix-factorization pytorch robust-nmf robust-statistics
Language:Python 63
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
classic-machine-learning machine-learning-algorithms linear-algebra non-negative-matrix-factorization
Language:Jupyter Notebook 61
rajmic / declipping2020_codes
Codes and data coming with article "A Survey and an Extensive Evaluation of Popular Audio Declipping Methods", and others closely related
algorithms audio crossfade declipping evaluation non-negative-matrix-factorization reproducible-research sparsity
Language:MATLAB 48
eesungkim / NMF-Tensorflow
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
nmf non-negative-matrix-factorization tensorflow
Language:Python 37
satwik77 / libnmf
Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
optimization non-negative-matrix-factorization regularization
Language:Python 33
welch-lab / pyliger
Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)
python single-cell non-negative-matrix-factorization multi-omic-integration
Language:Jupyter Notebook 30
ContextLab / seqnmf
An algorithm for unsupervised discovery of sequential structure
non-negative-matrix-factorization sequence-labeling convolution time-series python
Language:Python 25
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".
robust-optimization tensor-factorization beta-divergence nonnegativity-constraints non-negative-matrix-factorization l21-norm pytorch non-negative-tensor-factorization parafac majorize-minimization
Language:Jupyter Notebook 20
poyentung / sigma
Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)
python hyperspy hyperspectral-imaging pytorch gaussian-mixture-models non-negative-matrix-factorization sigma sem-eds
Language:Jupyter Notebook 19
PhysiologicAILab / FactorizePhys
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]
attention-mechanism computer-vision deep-learning healthcare-ai non-negative-matrix-factorization photoplethysmography-imaging physiological-computing remote-ppg rppg vital-signs
Language:Python 18
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.
blind-source-separation dimensionality-reduction feature-extraction gpu high-performance-computing hpc latent-variables machine-learning matrix matrix-factorization non-negative-matrix-factorization pattern-extraction semi-supervised-learning tensor-decomposition tensor-factorization tensors text-preprocessing unsupervised-learning matrix-completion
Language:Python 17
marcromani / cocktail
A blind source separation package using non-negative matrix factorization and non-negative ICA
python blind-source-separation source-separation bss independent-component-analysis ica non-negative-matrix-factorization nmf-decomposition nmf principal-component-analysis pca-analysis pca
Language:Python 14
bpw1621 / streamlit-topic-modeling
Topic modeling streamlit app.
topic-modeling streamlit streamlit-webapp streamlit-application streamlit-sharing latent-dirichlet-allocation non-negative-matrix-factorization data-science machine-learning natural-language-processing nlp
Language:Python 12
DEIB-GECO / NMTF-DrugRepositioning
nmtf non-negative-matrix-factorization drug-repurposing sphericalclustering drug-targets
Language:Jupyter Notebook 12
SUwonglab / CoupledNMF
Coupled clustering of single cell genomic data
single-cell clustering-methods non-negative-matrix-factorization atac-seq rna-seq
Language:Python 12
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
nmf non-negative-matrix-factorization matrix-factorization robustness python l2-norm l2-regularization l1-norm l21-norm factorization machine-learning deep-learning data-science noise image-classification nlp
Language:Jupyter Notebook 10
wecarsoniv / beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
pytorch beta-divergence loss-functions loss kullback-leibler-divergence kl-divergence mean-square-error mean-squared-error nmf nmf-decomposition non-negative-matrix-factorization itakura-saito-divergence objective-functions distance-measures distance-metric distance-metrics divergence divergences torch numpy
Language:Python 10
maryram / DiffStru
An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"
python information-diffusion link-prediction matrix-completion matrix-factorization non-negative-matrix-factorization
Language:Python 8
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.
cosine-similarity jupyter-notebook modeling non-negative-matrix-factorization python python-3 python3 rfm-analysis surprise-python svd svdpp
Language:Jupyter Notebook 7
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.
bayesian-inference mutational-signatures nmf bayesian-nmf gibbs-sampling matrix-factorization non-negative-matrix-factorization r-package
Language:R 7
duhaime / nmf
Non-Negative Matrix Factorization
nmf topic-modeling non-negative-matrix-factorization text-mining
Language:Python 6
mmahesh / cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
matrix-factorization proximal-algorithms matrix-decompositions matrix-completion optimization-algorithms non-convex-optimization non-negative-matrix-factorization nmf-decomposition nmf machine-learning signal-processing proximal-operators
Language:Python 6
pranayshyamkuwar / NMF-For-Classification-of-Defects-on-Steel-Surface-
Non-negative matrix factorization is applied for classification of defects on steel surface using CNN
non-negative-matrix-factorization image-classification steel-surface deep-neural-networks cnn-classification defects accuracy surface-defects nmf
Language:Python 5
THUMNLab / M-NMF
This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).
network-embedding network-representation-learning community-detection non-negative-matrix-factorization
Language:MATLAB 4
zhangzibin / cu-nmf
Non-negative Matrix Factorization based on cuda, with sparse matrix as input.
non-negative-matrix-factorization cuda projected-gradients
Language:Cuda 4
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.
recommender-engine word2vec lda latent-dirichlet-allocation non-negative-matrix-factorization embedding-algorithms algorithms headline
Language:Python 3
arpitamangal / fill-missing-values-of-SST
Filling in missing values of Sea Surface Temperature
cnn noaa-satellite non-negative-matrix-factorization sea-surface-temperature spatio-temporal
Language:Python 3
lanl / DnMFk
A C++ framework of Distributed Non-Negative Matrix Factorization implementation to find Latent Dimensionality in Big Data
non-negative-matrix-factorization non-negative-tensor-factorization clustering latent-features pattern-recognition machine-learning-algorithms artificial-intelligence
Language:C++ 3
NMTFcoclust
Saeidhoseinipour / NMTFcoclust
Co-clustering algorithms can seek homogeneous sub-matrices into a dyadic data matrix, such as a document-word matrix.
co-clustering matrix-factorization nmtf non-negative-matrix-factorization text-mining-analysis document-word opnmtf orthogonality probabilistic-nmtf word-clouds
Language:Python 3
xianchen2 / Topic_Modeling
Python implementation of Non-negative Matrix Factorization
non-negative-matrix-factorization
Language:Jupyter Notebook 3
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
data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder python
Language:Jupyter Notebook 2
XavierSpycy / NumPyNMF
NumPyNMF implements nine different Non-negative Matrix Factorization (NMF) algorithms using NumPy library and compares the robustness of each algorithm to five various types of noise in real-world data applications.
non-negative-matrix-factorization numpy-library robustness-experiments
Language:Python 2
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.
batch-effects bioinformatics-tool non-negative-matrix-factorization scrna-seq
Language:Python 2

non-negative-matrix-factorization

MIND-Lab / OCTIS

jonaschn / awesome-topic-models

FertigLab / CoGAPS

neel-dey / robust-nmf

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

rajmic / declipping2020_codes

eesungkim / NMF-Tensorflow

satwik77 / libnmf

welch-lab / pyliger

ContextLab / seqnmf

neel-dey / robustNTF

poyentung / sigma

PhysiologicAILab / FactorizePhys

lanl / T-ELF

marcromani / cocktail

bpw1621 / streamlit-topic-modeling

DEIB-GECO / NMTF-DrugRepositioning

SUwonglab / CoupledNMF

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

wecarsoniv / beta-divergence-metrics

maryram / DiffStru

aliceagrawal / HM-Recommender-System-App

jennalandy / bayesNMF

duhaime / nmf

mmahesh / cocain-bpg-matrix-factorization

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

THUMNLab / M-NMF

zhangzibin / cu-nmf

akhsassoualid / Headline_Recommender

arpitamangal / fill-missing-values-of-SST

lanl / DnMFk

Saeidhoseinipour / NMTFcoclust

xianchen2 / Topic_Modeling

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

XavierSpycy / NumPyNMF

ylaboratory / ALPINE