Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs

Evolutionary Techniques for Antenna Placement

Naive implementation of popular stochastic optimizers

A stochastic optimizer for the CS-DC’17 World e-conference schedule.

Multi-shape detection algorithm in C++ with OpenGL GUI

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated Annealing

Python Utilities for parsing SMPS files (Stochastic Multistage Optimization)

implementations of optimization algorithms for regularized empirical risk minimization

An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3

Subsampled Riemannian trust-region (RTR) algorithms

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

An implementation of the Artificial Bee Colony (ABC) Algorithm

PyTorch implementation of the Hessian-free optimizer

NODAL is an Open Distributed Autotuning Library in Julia

Riemannian stochastic optimization algorithms: Version 1.0.3

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

Task-based end-to-end model learning in stochastic optimization

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

🎯 A comprehensive gradient-free optimization framework written in Python