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l-bfgs

Here are 15 public repositories matching this topic...

ceres-solver / ceres-solver

A large scale non-linear optimization library

c-plus-plus computer-vision structure-from-motion levenberg-marquardt conjugate-gradient bundle-adjustment numerical-optimization nonlinear-programming bfgs l-bfgs nonlinear-optimization-algorithms gauss-newton trust-region nonlinear-least-squares

Updated Oct 24, 2024
C++

yixuan / LBFGSpp

A header-only C++ library for L-BFGS and L-BFGS-B algorithms

optimization l-bfgs-b l-bfgs limited-memory lbfgs-solver lbfgsb-solver

Updated Mar 10, 2024
C++

ZJU-FAST-Lab / LBFGS-Lite

LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

optimization nonlinear-optimization l-bfgs lbfgs unconstrained-optimization nonsmooth-optimization smooth-functions

Updated May 5, 2023
C++

Jutho / OptimKit.jl

OptimKit: A blissfully ignorant Julia package for gradient optimization

optimization conjugate-gradient optimization-algorithms l-bfgs gradient-optimization

Updated Jun 14, 2024
Julia

ultimaille / stlbfgs

C++ L-BFGS implementation using plain STL

optimization solver minimization l-bfgs solver-library

Updated Mar 20, 2023
C++

rohanrc1997 / Blendi-Py

A minimal Implementation of VGG16 Deep Learning Model in Python using L-BFGS to perform Image Styling/Blending

python learning theano neural-network deep hacktoberfest keras-neural-networks l-bfgs

Updated Dec 8, 2022
Python

nahmed215 / avoinversion

Adjoint-state based AVO Inversion Method

optimization adjoint-optimisation l-bfgs seismic-inversion adjoint-method seismic-interpretation avo-inversion

Updated Dec 18, 2022
MATLAB

jlmelville / mize

R Package for Unconstrained Numerical Optimization

r conjugate-gradient numerical-optimization l-bfgs

Updated Jan 16, 2022
R

jonathanschilling / L-BFGS-B

Large-scale Bound-constrained Optimization

l-bfgs-b l-bfgs

Updated Jul 27, 2021
Fortran

justinlovinger / optimal-py-learning

Python machine learning library using powerful numerical optimization methods.

python machine-learning neural-network optimization linear-regression som regression supervised-learning ensemble-learning mlp gradient-descent self-organizing-map bfgs l-bfgs multilayer-perceptron rbf-network

Updated Jul 31, 2021
Python

MATHinDL / sL_QN_TR

Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)

tutorial deep-neural-networks matlab image-classification l-bfgs trust-region deep-learning-toolbox stochastic-training-algorithm limited-memory-quasi-newton-updates l-sr1

Updated Mar 26, 2024
MATLAB

GabrielePisciotta / Computational-Mathematics-Optimization-Models

Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes

neural-network optimization mlp momentum gradient-descent l-bfgs linesearch

Updated Nov 12, 2021
Python

AntoinePassemiers / GDE-GaussFold

Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure

genetic-algorithm l-bfgs protein-folding graph-distance protein-3d-structure template-free-modelling

Updated Aug 15, 2019
Python

cpross90 / WaterWaveResearch

My undergraduate research project with John D. Carter that implements the nontrivial time-periodic solution computer for the Whitham equation. Algorithm provided by David Ambrose & Jon Wilkening (2010).

julia navier-stokes pde optimal-control newton-raphson l-bfgs fourier-methods integro-differential-equations whitham

Updated Nov 18, 2020

Thisisakr47 / Adversarial-Model-Confidence

This repo contains the codes for the project in UGP - II (CS 396)

react python cnn pytorch mnist alexnet l-bfgs iaa adversarial-attacks lgsm stl-10 uncertanity

Updated Nov 5, 2023
Jupyter Notebook

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