There are 0 repository under lbfgs topic.
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
An open source library for the GPU-implementation of L-BFGS-B algorithm
A collection of numerical methods written in Nim
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Improved LBFGS and LBFGS-B optimizers in PyTorch.
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
Library in Haskell for Dynamically Storing Expressions and Code Generator for Various Non-Linear Optimization Solvers
Basic Implementation of "Developability Of TriangleMeshes" from K. Crane, O. Stein, E. Grinspun
Here I upload my ML test scripts written in MATLAB or Python
C++ port of www.pyrunner.com/weblog/2016/05/26/compressed-sensing-python/
Visual and quantitative example of Steepest Descent vs limited memory BFGS (Broyden-Fletcher-Goldfarb-Shanno)
Implementation of numerical optimization algorithms for logistic regression problem.
An accompany to https://github.com/V-Sense/DeepNormals
Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
CUDA implementation of the LBFGS (Limited Memory Broyden–Fletcher–Goldfarb–Shanno) optimizer with optimizations for sparse problems.
This repository contains a benchmark for comparing Optimization Methods in Spark
Adversarial Attacks on Image data
Parallel and Stochastic optimization of Conditional Random Field for optical character recognition (OCR)
(Python, FORTRAN) Minimization of non-smooth functions subject to bound constraints
Shared library builder for L-BFGS-B Nonlinear Optimization Code
Broyden-Fletcher-Goldfarb-Shanno optimization from the MALLET toolkit