43 Open source projects that are alternatives of or similar to denser-models

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

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

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

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

Yet another NEAT implementation

NEAT for Reinforcement Learning on the OpenAI Gym

Neuroevolution in F#

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

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

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

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

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Python implementation of the NEAT neuroevolution algorithm

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

A topology and parameter evolving universal learning network.

An evolutionary computation framework

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Rust Neat - NeuroEvolution of Augmenting Topologies

Deprecated! See:

A neuroevolution game experiment.

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

Evolution Simulator with Box2D

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Evolving squids through neuroevolution

An Elixir Evolutive Neural Network framework à la G.Sher

Evolutionary Algorithms Framework

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.

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Python implementation of the NEAT neuroevolution algorithm

A simple factor network implementation written by JavaScript

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

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

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

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

DISHTINY: A Platform for Studying Open-Ended Evolutionary Transitions in Individuality

Tiny Genetic Programming in Python

Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)

A framework for gene expression programming (an evolutionary algorithm) in Python

Evolutionary algorithms library for the web 🧬

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 pure-Swift genetic algorithm library built for composition and extensibility.