There are 9 repositories under neat-python topic.
This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
Using NEAT Python to learn to play Flappy Bird.
🧠 NEAT algorithm applied to Chrome Dinosaur game in Python.
Python implementation of the NEAT neuroevolution algorithm
Stock trading based on MACD indicator, using NEAT and naive algorithm
🏎️ Teaching a car how to drive using the NEAT algorithm in Python.
NEAT for Reinforcement Learning on the OpenAI Gym
A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python
Python based AI that uses Deep Neural Networks, Neuroevolution and Streamlabs APIs to live stream games while commentating over them at the same time
Flappy Bird game, but AI plays it :robot:
Ping Pong game, but AI plays it :robot:
This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://link.springer.com/article/10.1007/s12530-023-09510-3
A self-learning snake game implemented using NEAT algorithm
A NEAT library in Python
A self-playing bot built with NEAT-python for Chrome T-Rex game recreated in pygame
Implementation of NEAT algorithm to help intuitive understanding.
A simple pygame dino game which can also be trained and played by a NEAT AI
Implementation of online multiplayer game - splix.io, enriched by two kind of bots using AI. Bots using heuristic algorithm and bots using NEAT algorithm.
Python Flappy Bird AI
This project is all about using NEAT algorithm to perform neuroevolution in order to make an AI agent for the game "Sway".
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.
Implementing and training A2C and NEAT agents to play flappy bird game.
This is how you teach a dumb bot to walk on two feet.
Self-driving car AI trained in simulations with randomly generated highways and parking lots 🚗
Age of war clone made in unity in order to speed up the neat algorithm training process. The values are extracted from the original game. It Communicates with a python script
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.
Meu primeiro Projeto - Simulação de Ecossistema
This project uses neat-python and stock data from Alpha Vantage to train a model to choose whether buy, sell, or hold a stock.
A Wumpus World game with an AI agent that plays it.
The project showcases the implementation of the NEAT algorithm in Python to play a Flappy Bird-like game. It orchestrates the evolution and evaluation of a bird population through successive generations until the fitness threshold is met. The ultimate winner genome, demonstrating exceptional gameplay, is saved as a pickle file as the main output.