hill-climbing topic
Solid
🎯 A comprehensive gradient-free optimization framework written in Python
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
geometrize-haxe
:triangular_ruler: Geometrize is a Haxe port of primitive that geometrizes images into geometric primitives
geometrize-lib
:large_orange_diamond: C++ library for Geometrize, a tool for geometrizing images into geometric primitives
AI-Programming-using-Python
This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach
random-art-generator
Command-line application to produce generative art based on a target image
Chips-n-Salsa
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
geometrize-haxe-demo
Demo using Geometrize Haxe and HaxeFlixel to recreate images with geometric primitives
KnapsackFX
Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search