sergeyvoronin / LowRankMatrixDecompositionCodes
RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.
☆88Updated 2 years ago
Alternatives and similar repositories for LowRankMatrixDecompositionCodes:
Users that are interested in LowRankMatrixDecompositionCodes are comparing it to the libraries listed below
- Distributed NMF/NTF Library☆41Updated last month
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Software package for Hankel structured low-rank approximation☆34Updated 5 years ago
- Randomized Dimension Reduction Library☆116Updated 3 years ago
- Proximal algorithms made easy in Python☆59Updated 7 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Header-only version of RedSVD☆58Updated 10 years ago
- A lightweight accelerated proximal-gradient package for matlab☆32Updated 8 years ago
- TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods☆46Updated 7 years ago
- Automatically exported from code.google.com/p/ac-dc☆14Updated 9 years ago
- The Surprisingly ParalleL spArse Tensor Toolkit.☆69Updated 2 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 6 years ago
- ☆14Updated 9 years ago
- ☆66Updated 6 years ago
- Cumulative Distribution Transform☆16Updated 7 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆99Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- A Python convex optimization package using proximal splitting methods☆111Updated last year
- A MATLAB toolbox for building first-order solvers for convex models.☆137Updated 2 years ago
- L-BFGS-B, converted from Fortran to C, with Matlab wrapper☆110Updated 6 months ago
- The git repository for the TT-Toolbox☆194Updated 10 months ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Frank-Wolfe optimization variants with a linear convergence rate☆20Updated 8 years ago
- A sparse matrix package for Python.☆30Updated 9 years ago
- Proximal Operator Graph Solver☆88Updated last year
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- A MATLAB interface for L-BFGS-B☆51Updated 7 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago