137 skills found · Page 1 of 5
MIND-Lab / OCTISOCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
dylkot / CNMFCode and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data
hiroyuki-kasai / NMFLibraryNMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
derekgreene / Dynamic NmfDynamic Topic Modeling via Non-negative Matrix Factorization
je-suis-tm / Machine LearningPython machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
yoyolicoris / Pytorch NMFA pytorch package for non-negative matrix factorization.
jonaschn / Awesome Topic Models✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
JuliaStats / NMF.jlA Julia package for non-negative matrix factorization
stephenslab / FastTopicsFast algorithms for fitting topic models and non-negative matrix factorizations to count data.
FertigLab / CoGAPSBayesian MCMC matrix factorization algorithm
neel-dey / Robust NmfPython 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 PythonThis 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 CodesCodes and data coming with article "A Survey and an Extensive Evaluation of Popular Audio Declipping Methods", and others closely related
smallk / SmallkHigh-performance Non-negative Matrix Factorizations (NMF) - Python/C++
benedekrozemberczki / NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
zdebruine / SingletSingle-cell analysis with non-negative matrix factorization
colinvaz / Nmf ToolboxToolbox for performing Non-negative Matrix Factorization (NMF) and several variants
drumichiro / Nmf And NtfThe sample code to study non-negative matrix and tensor factorization.
nycsv / NMF TensorflowNon-negative Matrix Factorization (NMF) Tensorflow Implementation
ebattenberg / Nmf CudaA CUDA implementation of non-negative matrix factorization for GPUs.
