Popular GitHub Repositories for Cellular Automata

Probabilistic language based on pattern matching and constraint propagation, 153 examples

A reproduction of growing neural cellular automata using PyTorch.

Code for "Learning Graph Cellular Automata" (NeurIPS 2021).

Official implementation of Generative Cellular Automata: ICLR 2021, 2022 (spotlight)

A Generative Art Gallery with the idea of creating a virtual Art Gallery with my creations. I have tried my hands on creating some visually appealing art using Cellular Automata, Recursive Grammar, Phyllotaxis, Sandpiles, Perlin Noise, IFS, Tiling.

This repo provides the code to replicate the experiments in the paper: Image Generation With Neural Cellular Automatas.

This repository contains software for multi-agent simulation model of mixed tra?c ?ow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis.

Make generative pixel art in your browser

A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.

This repository contains software for multi-agent simulation model of mixed tra?c ?ow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis. Currently I am working on making the front end of the software more user friendly for potential commercialization.

Learn what are the logic rules behind natural phenomena and how we can simulate and modify them using a computer

Reinforcement Learning of Intelligent Agent: QLearning

Probabilistic Cellular Automata Design and Analysis

...some examples of implementation of the main algorithms used in algorithmic composition:

A project developed for AI Programming exam revision, exploring various AI strategies like GOAP with a Blackboard system and Behavior Trees, as well as Procedural Content Generation using Binary Partitioning and Cellular Automata. Includes a test scene for real-time experimentation.

Repositorio con las prácticas y tareas de la optativa Evolutionary Computing impartida por el doctor Jorge Trigueros en ESCOM.