SimonDu / CUR-matrix-decompositionLinks
A matlab library for CUR matrix decomposition
☆27Updated 8 years ago
Alternatives and similar repositories for CUR-matrix-decomposition
Users that are interested in CUR-matrix-decomposition are comparing it to the libraries listed below
Sorting:
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- MATLAB Tensor Tools☆89Updated 4 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆66Updated 2 years ago
- Matlab Toolbox for Dimensionality Reduction☆38Updated 10 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆37Updated 4 years ago
- A lightweight accelerated proximal-gradient package for matlab☆34Updated 9 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 11 years ago
- Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence☆23Updated 6 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 6 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆11Updated 2 weeks ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆36Updated 4 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 5 years ago
- Code for multichannel sparse blind deconvolution problem.☆13Updated 5 years ago
- Robust PCA in Python☆36Updated 12 years ago
- The git repository for the TT-Toolbox☆205Updated 8 months ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.☆16Updated 6 years ago
- Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933☆16Updated 6 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆16Updated 10 years ago
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆94Updated 6 years ago
- A fresh approach to deep learning written in MATLAB☆24Updated 3 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- MATLAB Tensor Toolbox (by Tamara Kolda)☆40Updated 8 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago