jwetzl / CudaLBFGSLinks
This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.
☆138Updated 5 years ago
Alternatives and similar repositories for CudaLBFGS
Users that are interested in CudaLBFGS are comparing it to the libraries listed below
Sorting:
- PLEASE SEE THE OFFICIAL REPOSITORY. THIS IS NOT MAINTAINED ANYMORE.☆93Updated 5 years ago
- A matrix and array operation library on GPU with Eigen compatible interface☆99Updated 8 years ago
- A shallow fork of SuiteSparse adding build files for Visual Studio and support for ACML☆102Updated 10 years ago
- Numerical optimization in C++☆40Updated 11 years ago
- MWE for using the Eigen library in CUDA kernels☆121Updated 3 years ago
- Proximal Operator Graph Solver☆89Updated this week
- Fast computation of Gauss transforms in multiple dimensions; enables efficient Kernel Density Estimation (KDE) with Gaussian kernels.☆66Updated 6 years ago
- Utilities for CUDA programming☆42Updated 6 years ago
- Fast automatic differentiation library in C++☆110Updated 4 years ago
- libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)☆592Updated 2 years ago
- A fork of Eigen 3.2 to use MAGMA (GPU & CPU) as backend in the same way it does with Intel MKL.☆48Updated 12 years ago
- A C++ Library for Discrete Graphical Models☆424Updated 4 years ago
- An open source library for the GPU-implementation of L-BFGS-B algorithm☆143Updated 4 months ago
- Optizelle [op-tuh-zel] is an open source software library designed to solve general purpose nonlinear optimization problems.☆67Updated 5 years ago
- ☆37Updated 8 years ago
- C++11 multivariate normal distribution sampling using Eigen matrices☆73Updated 4 years ago
- CUSP : A C++ Templated Sparse Matrix Library☆421Updated 5 months ago
- Conjugate Gradient for Least Squares in CUDA☆52Updated 10 years ago
- A header-only C++ redesign of ARPACK using the Eigen library☆25Updated 10 years ago
- A tiny least squares solver targeting extreme performance on repeated minimizations☆44Updated 10 years ago
- Python bindings for ceres-solver (via Cython)☆45Updated 10 years ago
- Fast, vectorized C++ implementation of K-Means using the Eigen matrix template library. Includes Matlab and Python interfaces.☆58Updated 8 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 9 years ago
- Library for performing spectral clustering in C++☆80Updated 2 years ago
- Bare-bones hdf5 serialization of Eigen matrices and vectors☆66Updated 4 years ago
- Solve large instance of semi-discrete optimal transport problems and other Monge-Ampere equations☆34Updated 4 years ago
- Fast zero-overhead bindings between NumPy and Eigen☆143Updated 9 months ago
- C++ library for fast Gauss transforms.☆70Updated last year
- Randomized Decision Trees: A Fast C++ Implementation of Random Forests.☆179Updated 5 years ago
- Developer repository for ViennaCL. Visit http://viennacl.sourceforge.net/ for the latest releases.☆294Updated 4 years ago