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.
☆140Apr 3, 2020Updated 6 years ago
Alternatives and similar repositories for CudaLBFGS
Users that are interested in CudaLBFGS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An open source library for the GPU-implementation of L-BFGS-B algorithm☆153Aug 28, 2025Updated last year
- libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)☆598Jun 22, 2023Updated 3 years ago
- Framework for Sparse Non-linear Least Squares Optimization on a GPU☆42Jul 4, 2024Updated 2 years ago
- Optizelle [op-tuh-zel] is an open source software library designed to solve general purpose nonlinear optimization problems.☆68May 4, 2020Updated 6 years ago
- The fastest open-source C++17 optimization library for unconstrained nonlinear problems. Header-only, single dependency. Highest reliabil…☆978Jul 24, 2026Updated 2 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Experimental FlowCutter Code☆14Apr 11, 2026Updated 5 months ago
- Standalone Spherical Quadric Error Metric implementation, introduced with Sphere-Meshes (Jean-Marc Theiry, Emilie Guy and Tamy Boubekeur,…☆46Feb 27, 2023Updated 3 years ago
- A C++ implementation of polyharmonic/thin-plate spline transformation/interpolation☆23Nov 21, 2017Updated 8 years ago
- An open source first-order MATLAB solver for conic programs with row sparsity.☆11May 30, 2017Updated 9 years ago
- Proximal Operator Graph Solver☆90Jan 11, 2026Updated 8 months ago
- ☆29Feb 3, 2024Updated 2 years ago
- Building random forests on GPU☆206May 21, 2017Updated 9 years ago
- Direct solver for sparse SPD matrices for nonlinear optimization. Implements supernodal Cholesky decomposition algorithm, and supports GP…☆113Oct 8, 2025Updated 11 months ago
- A Sound and Complete Verification Tool for Warp-Specialized GPU Kernels☆22Jun 17, 2015Updated 11 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Utilities for CUDA programming☆44May 17, 2019Updated 7 years ago
- The BIM software registers point clouds to CAD models. It includes automatic registration algorithms. It is useful in cases where complex…☆11Aug 9, 2017Updated 9 years ago
- Non-convex optimization on the GPU using WebGL and Now.js☆17Jul 13, 2014Updated 12 years ago
- library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization☆2,275Jun 6, 2026Updated 3 months ago
- Integration of broadphase & narrowphase algorithms implemented on GPU☆19Apr 28, 2023Updated 3 years ago
- CUSP : A C++ Templated Sparse Matrix Library☆427Jul 8, 2026Updated 2 months ago
- FlowCutter submission to PACE 2016☆12Sep 20, 2016Updated 10 years ago
- A header-only C++ library for L-BFGS and L-BFGS-B algorithms☆662Mar 22, 2026Updated 6 months ago
- Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning☆1,119Aug 4, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Corrected source for the OpenCL in Action book (work in progress)☆64Aug 26, 2013Updated 13 years ago
- Simple Raytracer in C☆10Jan 29, 2015Updated 11 years ago
- Rust binding of fortran Limited memory LBFGS subroutine☆14Jul 30, 2019Updated 7 years ago
- CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single n…☆17Mar 11, 2012Updated 14 years ago
- Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher☆721Oct 6, 2021Updated 4 years ago
- Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.☆16May 31, 2017Updated 9 years ago
- An implementation of Maximum Entropy model☆14Apr 28, 2012Updated 14 years ago
- BruteForce Image Patchmatch☆11Jan 14, 2023Updated 3 years ago
- GPU-accelerated Levenberg-Marquardt curve fitting in CUDA☆342Aug 12, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- GPU-accelerated natural language parser☆38Dec 19, 2013Updated 12 years ago
- Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time…☆18Jul 13, 2022Updated 4 years ago
- CUDA Random Forest implementation for Image Labeling tasks☆183Dec 15, 2019Updated 6 years ago
- A framework for interactive, real-time 3D scene segmentation☆196Oct 25, 2019Updated 6 years ago
- Quantum Chemistry Laboratory package☆20Jun 22, 2022Updated 4 years ago
- A fast and highly scalable GPU dynamic memory allocator☆112Mar 11, 2015Updated 11 years ago
- Implementation of ConjugateGradients method using C and Nvidia CUDA☆53Jun 21, 2022Updated 4 years ago