non-negative-matrix-factorization
There are 91 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)
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."
FertigLab/CoGAPS
Bayesian MCMC matrix factorization algorithm
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 library for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)
marcromani/cocktail
A blind source separation package using non-negative matrix factorization and non-negative ICA
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.
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
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.
mmahesh/cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
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.
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.
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
aifenaike/Topic-Modelling-Using-LDA-and-NMF
Topic Modelling and Recommendation System for News Articles using Non-Negative Matrix Factorization (NMF) and Linear discriminant analysis (LDA).
jennalandy/bayesNMF
R package implementing Bayesian NMF using various models and prior structures.
jonathanbatty/stata-nmf
Non-negative Matrix Factorisation for Stata.
MediaBilly/Machine-Learning
My solutions for the assignments of my university course Pattern Recognition and Machine Learning
Saeidhoseinipour/NMTFcoclust
Non-Negative Matrix Tri-Factorization for Co-clustering
SeyedMuhammadHosseinMousavi/SDG_by_NMF
Synthetic Data Generation by Non-negative Matrix Factorization (NMF)
wataruhashimoto52/nmf_tfp
Implementation of Bayesian Non-negative Matrix Factorization using Variational Inference with TensorFlow Probability
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.