147 Open source projects that are alternatives of or similar to evo-NEAT

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

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

Python implementation of the NEAT neuroevolution algorithm

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).

NEAT for Reinforcement Learning on the OpenAI Gym

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

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

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

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

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

A topology and parameter evolving universal learning network.

A neuroevolution game experiment.

NEAT implementation in Pharo

No description or website provided.

Deprecated! See:

Mario AI Ensemble

Evolution Simulator with Box2D

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Evolving squids through neuroevolution

Evolutionary Algorithms Framework

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

Visualizing Artificial Neural Networks (ANNs) with just One Line of Code

Implement a Lisp, in C, from scratch, no libs

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

Python implementation of the NEAT neuroevolution algorithm

State of the Art Neural Networks for Deep Learning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

Cerebrum.js is a neural network library created in pure JavaScript.

cdv.dei.uc.pt/denser/

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

A sample project for getting started with Bourbon and Neat with Gulp

Censorship-resistant trustless protocols for smart contract, generic & high-load computing & machine learning on top of Bitcoin

Machine Learning algorithms coded from scratch

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

Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

An Awesome List of Cognitive Science Resources

An Elixir Evolutive Neural Network framework à la G.Sher

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

The Unpack.AI library

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

An advanced and lightweight ML and Deep learning library for python.

A simple factor network implementation written by JavaScript

A styled-components implementation of Thoughtbot's Neat

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Rust Neat - NeuroEvolution of Augmenting Topologies

RidgeRun Inference Framework

Neuroevolution in F#

Yet another NEAT implementation

A collection of some of the neat math and physics tricks that I've collected over the last few years.

Codes and Templates from the SuperDataScience Course

Evaluate three types of task shifting with popular continual learning algorithms.

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

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

Papers : Biological and Artificial Neural Networks

No longer maintained, actually usable implementation of NEAT

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

MOVED TO https://github.com/govau/uikit/