253 results for “topic:neat-python”
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.
Stock trading based on MACD indicator, using NEAT and naive algorithm
🏎️ Teaching a car how to drive using the NEAT algorithm in Python.
A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
NEAT for Reinforcement Learning on the OpenAI Gym
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 comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python
Ping Pong game, but AI plays it :robot:
A self-learning snake game implemented using NEAT algorithm
Flappy Bird game, but AI plays it :robot:
🚗 Draw a circuit and watch self-driving cars evolve thanks to the NEAT evolutionary algorithm.
sNEAT: A simplified implementation of NEAT (Neuro-Evolution of Augmenting Topologies) in Python
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 NEAT library in Python
Implementation of NEAT algorithm to help intuitive understanding.
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
A self-playing bot built with NEAT-python for Chrome T-Rex game recreated in pygame
Python module to make coding hassle free!
Implementation of online multiplayer game - splix.io, enriched by two kind of bots using AI. Bots using heuristic algorithm and bots using NEAT algorithm.
A simple pygame dino game which can also be trained and played by a NEAT AI
Reinforcement learning based optimizer with extensible architecture. Using plug-ins it can be used for trading strategy, porfolio or hyperparameter optimization, using optimization methods like genetic algorithms or q-learning, and diverse agent types as heuristic strategies or using machine learning on observations to produce agent control actions
Python Flappy Bird AI
An attempt at making an AI learn to play the game Celeste using Neuroevolution of Augmenting Topologies (NEAT), specifically neat-python.
A Wumpus World game with an AI agent that plays it.
This project is all about using NEAT algorithm to perform neuroevolution in order to make an AI agent for the game "Sway".
Implementing and training A2C and NEAT agents to play flappy bird game.
Meu primeiro Projeto - Simulação de Ecossistema
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.