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Deep learning using tensorflow
An experiments with Compositional Pattern Producing Networks and Generative Adversarial Networks.
Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow
Hybrid Architecture Network, originally VAE+CPPN+GAN by hardmaru
The supplementary code for Fossbytes blog in generating art using CPPNs
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.
Implementation of a (very simple) CPPN in plain JS + deeplearnjs
Generative CPPN-like neural network with latent vectors for voxel shape encoding/generation
Python library to generate renderings of planets and worlds using neural networks. For Xinny.
Tensorflow implemention of "Compositional Pattern Producing Networks: A Novel Abstraction of Development" model"
Generating abstract art with CPPN
Official implementation of the paper "Learning Invariance Manifolds of Visual Sensory Neurons".
Using PushGP to evolve Compositional Pattern Producing Networks to create art in Clojure
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