304 Open source projects that are alternatives of or similar to ai-n-queens

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

A metaheuristic optimization framework

Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search

sopt:A simple python optimization library

A genetic algorithm implementation in python

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Derivative-Free Optimization Method for Global Optimization (C++)

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A Genetic Algorithm Framework in Python

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

Supported highly optimized and flexible genetic algorithm package for python

🎯 A comprehensive gradient-free optimization framework written in Python

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

Matlab Module for Stock Market Prediction using Simple NN

Neutron: A pytorch based implementation of Transformer and its variants.

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

R package for solving three-dimensional bin packing problem

Feature extraction algorithm for genomic data

Genetic Algorithms Toolbox

In the coming weeks this plans to become a Gekko plugin that reacts to market changes, finding and running only the most profitable strategies.

Simple genetic algorithms in Go

🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering

Genetic Algorithms, Mutation, Crossover, Mating, Particle Animation, Gaming, Learning, P5JS, Fun Project

A JavaScript library to allocate and optimize financial portfolios.

Evolutionary algorithms library for the web 🧬

Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code

This repository belongs to the youtube videos "What are Genetic Algorithms" (https://youtu.be/uQj5UNhCPuo) and "Genetic Algorithm from Scratch in Python" (https://youtu.be/nhT56blfRpE). If you haven't seen it, please consider watching part one of this series, to get a better understanding of this code.

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

A class scheduler using adaptive-elitist genetic algorithm.

Large scale convex optimization solvers in julia

Project about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms

Using LSTM or Transformer to solve Image Captioning in Pytorch

A tour of different optimization algorithms in PyTorch.

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

My workshop on machine learning using python language to implement different algorithms

A genetic algorithm to solve the Travelling Salesman Problem, implemented in Python. Made by Jack Frigaard, modified by Mauricio Aizaga

Using genetic algorithm and neural networks to teach AI to play flappy bird.

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

An implementation of the paper "A Short Introduction to Boosting"

Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

Train PyTorch Models using the Genetic Algorithm with PyGAD

Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

Tensorflow with KenLM integrated for beam search scoring

Modern Fortran Edition of the Pikaia Genetic Algorithm

🎯 Generate DNA sequences with specified amino acid, codon, and k-mer frequencies

MATLAB Tool for Multi-Objective Optimization

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

使用浅层神经网络和遗传算法训练一个可以自动驾驶小车的Demo

A minimal nmt example to serve as an seq2seq+attention reference.

Genetic Algorithm for Flow Shop Scheduling

Python library for Bayesian hyper-parameters optimization

An R package for optimization using genetic algorithms

Multi-Objective GP for Automated Repair of Java

Iterated Racing for Automatic Algorithm Configuration

Command-line application to produce generative art based on a target image