[L4DC 2024] Official Implementation of "Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction"
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Updated
May 25, 2024
[L4DC 2024] Official Implementation of "Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction"
Official implementation of E(n)-equivariant Graph Neural Cellular Automata
Train or evolve controllable and diverse level-generators.
This project is inspired by the paper "Growing Neural Cellular Automata" found at the link: https://distill.pub/2020/growing-ca/. The project's objective is to develop an extension of the methodology described in this paper to enable the generation of complex structures in three dimensions.
Repository of the paper Adversarial Takeover of Neural Cellular Automata
🧬 GPU-accelerated, fully parameterized neural cellular automata implemented on pure JavaScript using GPU.js
Implementation of NCAs for image generation in JAX.
A reproduction of growing neural cellular automata using PyTorch.
combine neural nets and cellular automata
Minecraft Open-Ended Challenge 2021 Submission
🧠 Neural Cellular Automata + CLIP
🦠⚡️ Neural Cellular Automata (NCA) implemented with PyTorch Lightning
Python library to facilitate experiments with Cellular Automata
experimenting with differentiable models of morphogenesis 🔬 🦠
This repo provides the code to replicate the experiments in the paper: Predicting Geographic Information with Neural Cellular Automata.
This repo provides the code to replicate the experiments in the paper: Image Generation With Neural Cellular Automatas.
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