Popular GitHub Repositories for Pushdown Automata

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

Agent-based modeling framework in Julia

Automata: A self-coding agent

A reproduction of growing neural cellular automata using PyTorch.

Bespoke Automata is a GUI and deployment pipline for making complex AI agents locally and offline

Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

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

combine neural nets and cellular automata

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

An agent library for systems of nested automata.

Melody of Life is a step sequencer using cellular automata

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.

Official implementation of E(n)-equivariant Graph Neural Cellular Automata

Rust library for indexing and quickly searching large pretraining corpora

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

Fractal structures grown from a single point, using either cellular automata rules or convolutional kernels.

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.