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A large scale non-linear optimization library
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
MATLAB implementations of a variety of nonlinear programming algorithms.
zAnalysis是基于Pascal语言编写的大型统计学开源库
Python implementation of some numerical (optimization) methods
A library that provides routines to compute the solutions to systems of nonlinear equations.
Unconstrained optimization algorithms in python, line search and trust region methods
Some examples on computing MLEs using TensorFlow
Optimization in ML
Optimize nonsmooth functions with gradient sampling, (ns) BFGS...
Index of different Optimization Methods
Modern Fortran Refactoring of L-BFGS-B Nonlinear Optimization Code
Python machine learning library using powerful numerical optimization methods.
Adversarial example creation based on BFGS algorithm implemented under TensorFlow
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
A Unified Pytorch Optimizer for Numerical Optimization
My implementation of Broyden–Fletcher–Goldfarb–Shanno optimization algorithm.
The BFGS Algorithm is studied.
Constructing Metropolis-Hastings proposals using damped BFGS updates
[UFRJ - COS 360] Unrestricted Non-linear programming assignment at @ UFRJ
Implementation of numerical optimization algorithms for logistic regression problem.
Notes from Mathematics for Machine Learning and Data Science Specialization
Julia package implementing BFGS in various forms
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook