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.

Randomized Dimension Reduction Library

Proximal optimization in pure python

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

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

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

Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion

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

Convolutive Matrix Factorization in Julia

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

Nonnegative matrix factorization and matrix allocation algorithm implementations in C++

Non-Negative Matrix Factorization for Gene Expression Clustering