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35 search results found

Triangula ⭐ 3,832

Generate high-quality triangulated and polygonal art from images.

High-Performance Symbolic Regression in Python and Julia

Geneticalgorithmpython ⭐ 1,564

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Evolutionary Algorithm ⭐ 1,152

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Applying_eanns ⭐ 955

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Jenetics ⭐ 806

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

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

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

Invaderz ⭐ 677

Space invaders, but the invaders evolve with genetic algorithm

Self Parking Car Evolution ⭐ 636

🧬 Training the car to do self-parking using a genetic algorithm

🎯 A comprehensive gradient-free optimization framework written in Python

Symbolicregression.jl ⭐ 484

Distributed High-Performance Symbolic Regression in Julia

Evolutionary.jl ⭐ 290

Evolutionary & genetic algorithms for Julia

Circle Evolution ⭐ 256

Evolutionary Art Using Circles in Python

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.

Bluepyopt ⭐ 190

Blue Brain Python Optimisation Library

Watchmaker ⭐ 186

The Watchmaker Framework for Evolutionary Computation

MoveIt kinematics_base plugin based on particle optimization & GA

Evolutionary Computation Course ⭐ 154

Jupyter/IPython notebooks about evolutionary computation.

Galgo 2.0 ⭐ 140

Genetic Algorithm in C++ with template metaprogramming and abstraction for constrained optimization

Biteopt ⭐ 118

Derivative-Free Global Optimization Method (C++, Python binding)

Awesome Deep Neuroevolution ⭐ 111

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Genetic algorithm for unsupervised machine learning in Go.

A genetic programming engine which evolves solutions through asynchronous speciation.

Evolutionary Algorithms Framework

Grokking Artificial Intelligence Algorithms ⭐ 91

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Distributedevolutionarycomputation ⭐ 84

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

Execute genetic algorithm (GA) simulations in a customizable and extensible way.

Train PyTorch Models using the Genetic Algorithm with PyGAD

EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.

Tiny Genetic Programming in Python

Modular Agent Based Evolution Framework

Geneticalgorithmforfeatureselection ⭐ 60

Search the best feature subset for you classification mode

Route Optimizer Machine Learning ⭐ 58

Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

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

Evolvable ⭐ 41

An evolutionary computation framework

Evolution ⭐ 37

A simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes

Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms

Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...

Vita - Genetic Programming Framework

Ec A Modern Perspective ⭐ 33

Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now.

Evolved concurrent neural networks on godot engine

🐤The next evolution of, well, evolution.

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).

Applied Machine Learning Course ⭐ 28

This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.

Cgp Cnn Pytorch ⭐ 27

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

Neuroevolution Robots ⭐ 24

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

Propulate ⭐ 24

Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Modular Java framework for meta-heuristic optimization

Revolver ⭐ 21

A framework for building fast genetic algorithms in Swift.

Citius Invaders ⭐ 21

An old-style HTML5 arcade game for teaching genetic algorithms to kids, made with PhaserJS

Geneticsjs ⭐ 21

Evolutionary algorithms library for the web 🧬

Geneticalgorithm2 ⭐ 20

Supported genetic algorithm package for python

Feup Iart Summary ⭐ 20

Artificial Intelligence Course - Summaries, Exams, Minitests and Comic Sans

Neuro Evolution ⭐ 20

A project on improving Neural Networks performance by using Genetic Algorithms.

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

Genetic Algorithm and Particle Swarm Optimization

An AI to teach Google Chrome's dinosaur to jump obstacles.

Nature Inspired Optimization Algorithms

Quantum-inspired evolutionary algorithms for Optimization problems

Machine Learning Blackjack Solution ⭐ 14

Finding an optimal Blackjack strategy using AI

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Optimized Mdvrp ⭐ 13

"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

A performant and flexible genetic algorithm implemented in C++20/23.

GAGA is a fast, header only, multi-objective, and distributed evolutionary algorithm library written in modern C++. It is designed to be easily usable with various genotype representations and allows the user to enable or disable several features such as novelty search or speciation. It also produces and exports various customizable statistics.

Genetic Programming ⭐ 11

Genetic programming for math equations with prefix expression trees.

Evolutionary Optimization ⭐ 11

A collection of black-box optimizers with a focus on evolutionary algorithms

Genetic Algorithm In Python ⭐ 11

A genetic algorithm written in Python for educational purposes.

C++ genetic algorithms scientific library

Artificial Life Simulator ⭐ 10

An ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements.

Simulating a primordial brain. A biological (spiking) neural network structuring itself through natural selection.

Accessible and modern implementations of common optimization algorithms.

Genetictree ⭐ 10

Constructing decision trees with genetic algorithm with a scikit-learn inspired API

Simple Es ⭐ 9

Simple implementations of multi-agent evolutionary strategies using pytorch.

Evolutionary algorithms, alternative to Reinforcement Learning

Genetic_chess ⭐ 9

An amateur attempt at breeding a chess-playing AI.

Keen is a Kotlin genetic algorithms' framework

Agentsmith ⭐ 8

Нейронная сеть оптимизируемая с помощью генетического алгоритма. Задача агента контролируемого при помощи нейронной сети состоит в том, чтобы избегать контакта с противниками, как можно более длительное время.

CSCI 4560 Term Project - Solving the CVRP using evolutionary approaches, specifically genetic algorithms, to optimize problem sets into its best known solution.

EE6227 Genetic Algorithms & Machine Learning

Genetic Algorithm ⭐ 8

A simple evolutionary algorithm (Simultaneous update of all the weights)

A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large scale genomic data.

Evolutionary Timetable Scheduling ⭐ 7

An algorithm for creating a good timetable for the Faculty of Computing. The algorithm is based on evolutionary strategies, more precisely on the 1+1 evolutionary strategy and Shotgun hill climbing.

Duelist Algorithm Python ⭐ 7

A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708

Genetic Algorithm ⭐ 7

Python class for a genetic algorithm to solve an optimization problem with n control variables

Tiny Genetic Algorithm in Python

Neuro Evolution ⭐ 7

Wrapper for neural evolution approach for hyperparameter tuning

Evopreprocess ⭐ 7

A Python Toolkit for Data Preprocessing with Evolutionary and Nature-Inspired Algorithms.

The Shakespeare And Monkey Problem ⭐ 7

Evolutionary Computing - Genetic Algorithm

A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.

Relentlessly learning, persistently failing, but never surrendering.

Thefittest ⭐ 6

Implementation of data mining methods that use evolutionary algorithms

Automatic_design_of_quantum_feature_maps_genetic_auto Generation ⭐ 6

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

Opp Op Pop Init ⭐ 6

PyPI package containing opposition learning operators and population initializers for evolutionary algorithms

Genetic Algorithm Framework in JS

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