Improved LBFGS and LBFGS-B optimizers in PyTorch.
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Updated
May 27, 2024 - Python
Improved LBFGS and LBFGS-B optimizers in PyTorch.
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
A collection of numerical methods written in Nim
Broyden-Fletcher-Goldfarb-Shanno optimization from the MALLET toolkit
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
CUDA implementation of the LBFGS (Limited Memory Broyden–Fletcher–Goldfarb–Shanno) optimizer with optimizations for sparse problems.
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
An open source library for the GPU-implementation of L-BFGS-B algorithm
An accompany to https://github.com/V-Sense/DeepNormals
LBFGS optimization algorithm ported from liblbfgs
Adversarial Attacks on MNIST
(Python, FORTRAN) Minimization of non-smooth functions subject to bound constraints
Utility for molecular mechanics energy minimization with OpenMP support
Adversarial Attacks on Image data
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