Playing ATARI games using a convolutional autoencoder and an evolutionary algorithm. Team name: bad_skiers_evolved (DeepHack.RL)

An implementation of the neuroevolution algorithm NEAT

Optimizing both weight and structure of neural network using genetic algorithm using neat-python library. identifying the user by its typing patterns using the evolved neural network and also compared it with 3-layer neural network.

Python implementation of the NEAT neuroevolution algorithm

Train a Neural Net to play 99 balls

A python program that generate Skullgirls combos using Neat-Python

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

A neuro-evolução é uma técnica de aprendizado de máquina que aplica algoritmos evolucionários para construir uma rede neural artificial, tendo como inspiração o processo biológico evolutivo do sistema nervoso na natureza.

That's pretty neat

Hackathon, University of Szeged, 07/28/2018

Proof of Concept for Self Driving Car

Super Mario World playing agent developed using Retro Learning Environment library as a final project for the Machine Learning course at Universidade Federal do ABC.

Running Neat algorithm in gym enviroments

This repository contains a wrapper for the NEAT (Evolving Neural Networks through Augmenting Topologies) Algorithm.

Final Project for the Bio-inspired Artificial Intelligence Course.

Python based AI that uses Deep Neural Networks, Neuroevolution and Streamlabs APIs to live stream games while commentating over them at the same time

A self-playing bot built with NEAT-python for Chrome T-Rex game recreated in pygame

Basic Mutation and Copy Functions. Library requires only Numpy.

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