Nimfa: Nonnegative matrix factorization in Python
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Updated
Feb 12, 2021 - Python
Nimfa: Nonnegative matrix factorization in Python
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
R package for integrating and analyzing multiple single-cell datasets
Randomized Dimension Reduction Library
A pytorch package for non-negative matrix factorization.
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.
Official code for BEAR. "Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data", MICCAI 2021.
Python Distributed Non Negative Matrix Factorization with custom clustering
Sentimentally analyze product reviews to predict opinion honesty.
Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors
Solve many kinds of least-squares and matrix-recovery problems
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
Non-Negative Matrix Factorization for Gene Expression Clustering
Convolutive Matrix Factorization in Julia
Keras Non-Negative Matrix Factorization
NMF/NTF with Pytorch
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.
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