There are 1 repository under stochastic-optimizers topic.
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
🎯 A comprehensive gradient-free optimization framework written in Python
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Task-based end-to-end model learning in stochastic optimization
Derivative-Free Global Optimization Method (C++, Python binding)
Riemannian stochastic optimization algorithms: Version 1.0.3
PyTorch implementation of the Hessian-free optimizer
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Subsampled Riemannian trust-region (RTR) algorithms
An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3
implementations of optimization algorithms for regularized empirical risk minimization
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Multi-shape detection algorithm in C++ with OpenGL GUI
Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated Annealing
Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs
Evolutionary Techniques for Antenna Placement
Naive implementation of popular stochastic optimizers