l-bfgs

There are 1 repository under l-bfgs topic.

ceres-solver / ceres-solver
A large scale non-linear optimization library
c-plus-plus numerical-optimization nonlinear-optimization-algorithms nonlinear-programming nonlinear-least-squares bundle-adjustment bfgs levenberg-marquardt gauss-newton trust-region computer-vision structure-from-motion l-bfgs conjugate-gradient
Language:C++ 3595
yixuan / LBFGSpp
A header-only C++ library for L-BFGS and L-BFGS-B algorithms
l-bfgs l-bfgs-b lbfgs-solver lbfgsb-solver limited-memory optimization
Language:C++ 499
ZJU-FAST-Lab / LBFGS-Lite
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
optimization unconstrained-optimization nonlinear-optimization lbfgs l-bfgs nonsmooth-optimization smooth-functions
Language:C++ 285
Jutho / OptimKit.jl
OptimKit: A blissfully ignorant Julia package for gradient optimization
optimization-algorithms gradient-optimization conjugate-gradient l-bfgs optimization
Language:Julia 54
ultimaille / stlbfgs
C++ L-BFGS implementation using plain STL
l-bfgs optimization minimization solver solver-library
Language:C++ 32
rohanrc1997 / Blendi-Py
A minimal Implementation of VGG16 Deep Learning Model in Python using L-BFGS to perform Image Styling/Blending
deep learning neural-network l-bfgs python keras-neural-networks theano hacktoberfest
Language:Python 15
jlmelville / mize
R Package for Unconstrained Numerical Optimization
l-bfgs r numerical-optimization conjugate-gradient
Language:R 10
nahmed215 / avoinversion
Adjoint-state based AVO Inversion Method
adjoint-method adjoint-optimisation l-bfgs optimization seismic-interpretation seismic-inversion avo-inversion
Language:MATLAB 8
jonathanschilling / L-BFGS-B
Large-scale Bound-constrained Optimization
l-bfgs-b l-bfgs
Language:Fortran 7
justinlovinger / optimal-py-learning
Python machine learning library using powerful numerical optimization methods.
python machine-learning supervised-learning multilayer-perceptron mlp neural-network rbf-network ensemble-learning self-organizing-map som optimization gradient-descent bfgs linear-regression regression l-bfgs
Language:Python 6
MATHinDL / sL_QN_TR
Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)
trust-region matlab deep-neural-networks image-classification stochastic-training-algorithm limited-memory-quasi-newton-updates deep-learning-toolbox l-bfgs l-sr1 tutorial
Language:MATLAB 3
AntoinePassemiers / GDE-GaussFold
Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure
protein-folding protein-3d-structure template-free-modelling graph-distance l-bfgs genetic-algorithm
Language:Python 2
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 l-bfgs gradient-descent momentum linesearch mlp
Language:Python 2
Thisisakr47 / Adversarial-Model-Confidence
This repo contains the codes for the project in UGP - II (CS 396)
cnn adversarial-attacks l-bfgs lgsm pytorch uncertanity mnist stl-10 alexnet react iaa python
Language:Jupyter Notebook 1
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).
whitham julia optimal-control l-bfgs newton-raphson fourier-methods pde navier-stokes integro-differential-equations
0