PWhiddy/Growing-Neural-Cellular-Automata-Pytorch
Extended experiments of "Growing Neural Cellular Automata" https://distill.pub/2020/growing-ca/
This project explores how a grid of simple, communicating 'cells' can learn to perform complex computational tasks, much like a living system grows and organizes itself. It takes a starting pattern or data matrix and processes it locally across the grid to produce a desired output, like a copied matrix or a matrix product. This is for researchers and engineers exploring novel, highly parallel computing architectures.
138 stars. No commits in the last 6 months.
Use this if you are researching distributed computing, self-organizing systems, or unconventional hardware architectures that require local communication and parallel processing.
Not ideal if you are looking for a ready-to-use library for standard data processing or machine learning tasks on conventional hardware.
Stars
138
Forks
17
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Sep 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/PWhiddy/Growing-Neural-Cellular-Automata-Pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
neuromorphs/NIR
Neuromorphic Intermediate Representation reference implementation
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
norse/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
jeshraghian/snntorch
Deep and online learning with spiking neural networks in Python