NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
☆340Feb 24, 2023Updated 3 years ago
Alternatives and similar repositories for NMFLibrary
Users that are interested in NMFLibrary are comparing it to the libraries listed below
Sorting:
- Deep Autoencoder-like NMF☆23Jan 22, 2021Updated 5 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆59Jun 30, 2014Updated 11 years ago
- Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants☆48May 2, 2019Updated 6 years ago
- Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization.☆22Jun 30, 2015Updated 10 years ago
- ☆12Oct 27, 2016Updated 9 years ago
- Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence☆23Jun 24, 2019Updated 6 years ago
- Symmetric NMF for graph clustering☆29Dec 18, 2017Updated 8 years ago
- Theano-based implementation of Deep Semi-NMF.☆121Nov 16, 2015Updated 10 years ago
- Code from http://www.ee.columbia.edu/~grindlay/code.html☆27Jun 17, 2025Updated 8 months ago
- NMF code in Matlab☆28Feb 1, 2019Updated 7 years ago
- Simple MATLAB toolbox for deep learning network: Version 1.0.3☆16Apr 16, 2019Updated 6 years ago
- Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos☆884Nov 22, 2025Updated 3 months ago
- OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1☆38Jan 13, 2023Updated 3 years ago
- MATLAB script of Multichannel Nonnegative Matrix Factorization☆30May 24, 2021Updated 4 years ago
- Boolean matrix factorization and noisy completion by message passing☆11May 25, 2016Updated 9 years ago
- tensor-tensor product toolbox☆92May 1, 2021Updated 4 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆207Mar 18, 2023Updated 2 years ago
- Nimfa: Nonnegative matrix factorization in Python☆557Feb 12, 2021Updated 5 years ago
- Spectral Perturbation Meets Incomplete Multi-view Data, In IJCAI-2019☆20May 18, 2021Updated 4 years ago
- MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20☆225May 11, 2023Updated 2 years ago
- Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm☆107May 1, 2021Updated 4 years ago
- ☆381Dec 5, 2023Updated 2 years ago
- Performance-oriented implementation of independent vector analysis for blind source separation.☆26Mar 26, 2020Updated 5 years ago
- Matlab code for "Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering".☆10Jun 5, 2023Updated 2 years ago
- NMF Code for calculating components from Brain imaging data.☆16Sep 14, 2022Updated 3 years ago
- This is the CODE of Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering☆15Nov 4, 2020Updated 5 years ago
- CHAP (Connectome Harmonic Analysis Pipeline)☆12Feb 28, 2025Updated last year
- code of KBR_TC and KBR_RPCA☆10Nov 8, 2017Updated 8 years ago
- The code for "An online plug-and-play algorithm for regularized image reconstruction", IEEE TCI, 2019.☆10Jan 22, 2020Updated 6 years ago
- 日本音響学会誌用BibTeXスタイルファイル☆11Jan 24, 2022Updated 4 years ago
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Aug 8, 2017Updated 8 years ago
- A collection of multi-view datasets☆12Mar 22, 2022Updated 3 years ago
- Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization☆15Mar 1, 2017Updated 9 years ago
- Correlated Components Analysis (CorrCA) written in Python based on the original Matlab code from Parra's Lab.☆12Jun 21, 2024Updated last year
- A lightweight accelerated proximal-gradient package for matlab☆34Aug 5, 2016Updated 9 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆46Mar 27, 2020Updated 5 years ago
- ☆139Mar 19, 2013Updated 12 years ago
- A Library of ADMM for Sparse and Low-rank Optimization☆393May 1, 2021Updated 4 years ago
- Non-negative matrix factorization (NMF) minimizes the euclidean distance between the data matrix and its low rank approximation, and it f…☆14Apr 28, 2019Updated 6 years ago