A large scale non-linear optimization library
A header-only C++ library for L-BFGS and L-BFGS-B algorithms
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
OptimKit: A blissfully ignorant Julia package for gradient optimization
C++ L-BFGS implementation using plain STL
A minimal Implementation of VGG16 Deep Learning Model in Python using L-BFGS to perform Image Styling/Blending
Adjoint-state based AVO Inversion Method
R Package for Unconstrained Numerical Optimization
Python machine learning library using powerful numerical optimization methods.
Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)
Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes
Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure
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).
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