A large scale non-linear optimization library
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Updated
May 24, 2024 - C++
A large scale non-linear optimization library
Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)
A header-only C++ library for L-BFGS and L-BFGS-B algorithms
OptimKit: A blissfully ignorant Julia package for gradient optimization
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
C++ L-BFGS implementation using plain STL
Adjoint-state based AVO Inversion Method
A minimal Implementation of VGG16 Deep Learning Model in Python using L-BFGS to perform Image Styling/Blending
R Package for Unconstrained Numerical Optimization
Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes
Python machine learning library using powerful numerical optimization methods.
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).
Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure
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