FlappyAI is our exploration of the NeuroEvolution of Augmenting Topologies (NEAT) algorithm. Using this algorithm, we built the Flappy Bird game with Pygame and trained a neural network to play the game autonomously. This project showcases NEAT's capability in creating adaptive and intelligent game-playing systems.

The classic Flappy Bird game recreated in Python and Pygame and integrated with NEAT

Auto-Flappy: An AI-driven adaptation of Flappy Bird, trained using NEAT, offering autonomous gameplay.

This will utilize neural network and machine learning models to paper trade on the stock market.

ML Bot using the NEAT algorithm to play the chrome dinosaur game

🚗 Draw a circuit and watch self-driving cars evolve thanks to the NEAT evolutionary algorithm.

En este proyecto, se implementa un algoritmo de Neuroevolución con Aumento Topologico (NEAT) para entrenar a un dinosaurio virtual a jugar el clásico juego de Chrome Dino Run utilizando Python.

NEAT-python for stock trading

Can I get an AI to play Dragon Wood

Teaching AI to play OpenAI Gym's ATARI Pong with use of Neuroevolution of Augmented Topologies reinforcement learning algorithm

Self Learning pong game using NEAT and Pygame, there's bound to be errors since i made this for myself following Tech With Tim tutorial on my pong game which is posted. Code isn't neat but there's comments where I think they're useful. I also attached the best neural network i could train, but of course it can be improved.

This project uses neat-python and stock data from Alpha Vantage to train a model to choose whether buy, sell, or hold a stock.

Using an AI to play the game of flappy bird using Python and the module NEAT - python.

🧠 NEAT algorithm applied to Chrome Dinosaur game in Python.

🏎️ Teaching a car how to drive using the NEAT algorithm in Python.

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.

This is a simple implementation of the Flappy Bird game using the NEAT algorithm to train an AI to play the game.

Mario NEAT AI

AI playing Google Chrome Dino game.

Il progetto unisce il gioco PONG con l' algoritmo NEAT (NeuroEvolution of Augmenting Topologies)