270 Open source projects that are alternatives of or similar to Super Mario Neat

Evolving squids through neuroevolution

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

Deprecated! See:

Yet another NEAT implementation

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

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Evolution Simulator with Box2D

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

A neuroevolution game experiment.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

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

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

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Space invaders, but the invaders evolve with genetic algorithm

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Node js trading bot, let you create trading strategy and run it (backtest/simulation/live)

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

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

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

📈 Find your fasttext hyperparameters quickly and easily.

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

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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.

🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js

Solving the nqueens problem using genetic algorithm

A Genetic Algorithm-Based Solver for Jigsaw Puzzles 🌀

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Starter Bot for Codingame's Coders Strike Back AI Challenge (Simulation Engine + Random Search)

Code for Tensorflow Machine Learning Cookbook

Use a genetic algorithm to evolve an image by putting emojies on a canvas

A Genetic Algorithm Framework in Python

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

Self driving cars using NEAT

Statistical Machine Intelligence & Learning Engine

Reinforcement Learning Algorithms

🎯 A comprehensive gradient-free optimization framework written in Python

Neural agents learn to play in an agario-like environment with Neataptic

A simple factor network implementation written by JavaScript

Analizador de tráfico para dispositivos Android potencialmente comprometidos como parte de una botnet orientado a detectar ataques DDoS.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Genetic neural architecture search with Keras

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

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

An interactive ecosystem and evolution simulator written in C and OpenGL, for GNU/Linux.

simple neural network library in ANSI C

Neural networks + Genetic algorithm on unity

C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

Simple A3C implementation with pytorch + multiprocessing

Python implementation of the NEAT neuroevolution algorithm