321 Open source projects that are alternatives of or similar to NEATEST

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

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

Evolution Simulator with Box2D

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

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

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

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.

Tiny Genetic Programming in Python

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Blue Brain Python Optimisation Library

The Watchmaker Framework for Evolutionary Computation

Modular Java framework for meta-heuristic optimization

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

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

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)

Evolving squids through neuroevolution

Evolutionary algorithms library for the web 🧬

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Finding an optimal Blackjack strategy using AI

Genetic Algorithm and Particle Swarm Optimization

Search the best feature subset for you classification mode

Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT, etc.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

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

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

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

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

Evolutionary Algorithms Framework

A java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.

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

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

Genetic neural architecture search with Keras

Deprecated! See:

Radiate is a parallel genetic programming engine capable of evolving solutions to many problems as well as training learning algorithms.

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

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.

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

Supported highly optimized and flexible genetic algorithm package for python

NEAT for Reinforcement Learning on the OpenAI Gym

Evolutionary & genetic algorithms for Julia

Jupyter/IPython notebooks about evolutionary computation.

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).

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

Evolutionary Art Using Circles in Python

Mario AI Ensemble

Train PyTorch Models using the Genetic Algorithm with PyGAD

A neuroevolution game experiment.

Generate high-quality triangulated and polygonal art from images.

Yet another NEAT implementation

No longer maintained, actually usable implementation of NEAT

An R package for optimization using genetic algorithms

用神经网络来训练个能自己玩chrome断线时的那个小恐龙的AI

A multi-purpose extensible self-adaptive evolutionary tool

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Draw your own Rectangular Statistical Cartogram - CRAN package

A Tetris AI written in JavaScript that uses a genetic algorithm

FMI-compliant Model Estimation in Python

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)