optml / ac-dcLinks
Automatically exported from code.google.com/p/ac-dc
☆14Updated 9 years ago
Alternatives and similar repositories for ac-dc
Users that are interested in ac-dc are comparing it to the libraries listed below
Sorting:
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆93Updated 2 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆12Updated 4 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- ☆65Updated 5 years ago
- ☆67Updated 7 years ago
- Randomized Dimension Reduction Library☆117Updated 4 years ago
- python algorithms to solve sparse linear programming problems☆31Updated 2 years ago
- Distributed NMF/NTF Library☆48Updated 10 months ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆37Updated 4 years ago
- A Python environment for large-scale optimization.☆30Updated 8 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Software package for Hankel structured low-rank approximation☆34Updated 6 years ago
- TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods☆48Updated 8 years ago
- Randomized Tensor Decompositions☆30Updated 9 years ago
- Bayesian optimization in high-dimensions via random embedding.☆115Updated 12 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago
- Sparse-input neural networks☆23Updated 2 years ago
- Proximal Operator Graph Solver☆89Updated 2 years ago
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- A Python convex optimization package using proximal splitting methods☆116Updated last month
- Fast optimal transport code☆57Updated 5 years ago
- MATLAB Tensor Tools☆89Updated 4 years ago
- ☆19Updated 7 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation a…☆60Updated 6 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Optizelle [op-tuh-zel] is an open source software library designed to solve general purpose nonlinear optimization problems.☆67Updated 5 years ago
- A MATLAB toolbox for building first-order solvers for convex models.☆142Updated 3 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago