Nimfa: Nonnegative matrix factorization in Python

R package for integrating and analyzing multiple single-cell datasets

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

A pytorch package for non-negative matrix factorization.

Proximal optimization in pure python

Randomized Dimension Reduction Library

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

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.

Solve many kinds of least-squares and matrix-recovery problems

Python Distributed Non Negative Matrix Factorization with custom clustering

NMF/NTF with Pytorch

Self-supervised semi-supervised nonnegative matrix factorization for data clustering

Official code for BEAR. "Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data", MICCAI 2021.

A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.

Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors

A review of the most popular topic modeling techniques, featuring hands-on tutorials.

Convolutive Matrix Factorization in Julia

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion

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.