non-negative-matrix-factorization
There are 96 repositories under non-negative-matrix-factorization topic.
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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)
ContextLab/seqnmf
An algorithm for unsupervised discovery of sequential structure
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".
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.
marcromani/cocktail
A blind source separation package using non-negative matrix factorization and non-negative ICA
PhysiologicAILab/FactorizePhys
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]
bpw1621/streamlit-topic-modeling
Topic modeling streamlit app.
SUwonglab/CoupledNMF
Coupled clustering of single cell genomic data
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
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.
maryram/DiffStru
An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"
duhaime/nmf
Non-Negative Matrix Factorization
mmahesh/cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
pranayshyamkuwar/NMF-For-Classification-of-Defects-on-Steel-Surface-
Non-negative matrix factorization is applied for classification of defects on steel surface using CNN
THUMNLab/M-NMF
This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).
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
lanl/DnMFk
A C++ framework of Distributed Non-Negative Matrix Factorization implementation to find Latent Dimensionality in Big Data
Saeidhoseinipour/NMTFcoclust
Co-clustering algorithms can seek homogeneous sub-matrices into a dyadic data matrix, such as a document-word matrix.
xianchen2/Topic_Modeling
Python implementation of Non-negative Matrix Factorization
jennalandy/bayesNMF
R package implementing Bayesian NMF using various models and prior structures.
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
michalovadek/nmfbin
Non-Negative Matrix Factorization for Binary Data
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.