Tensorflow implemention of "Compositional Pattern Producing Networks: A Novel Abstraction of Development" model"
-
Updated
Mar 24, 2023 - Python
Tensorflow implemention of "Compositional Pattern Producing Networks: A Novel Abstraction of Development" model"
This is the official repository for the GECCO (Genetic and Evolutionary Computation Conference, 2022) paper "A Comparative Analysis on Genome Pleiotropy for Evolved Soft Robots". This repository hosts all the code necessary to replicate the experiments. This work was carried out at Ghent University IDLab-AIRO.
Official implementation of the paper "Learning Invariance Manifolds of Visual Sensory Neurons".
Python library to generate renderings of planets and worlds using neural networks. For Xinny.
Using PushGP to evolve Compositional Pattern Producing Networks to create art in Clojure
Generating abstract art with CPPN
Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow
Deep learning using tensorflow
Generative CPPN-like neural network with latent vectors for voxel shape encoding/generation
Implementation of a (very simple) CPPN in plain JS + deeplearnjs
The supplementary code for Fossbytes blog in generating art using CPPNs
Add a description, image, and links to the cppn topic page so that developers can more easily learn about it.
To associate your repository with the cppn topic, visit your repo's landing page and select "manage topics."