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- cppn · GitHub Topics · GitHub
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- GitHub - RedRyan111 CPPN-NEAT: An implementation of Compositional . . .
About An implementation of Compositional Pattern Producing Networks (CPPN) using NeuroEvolution of Augmenting Topologies (NEAT) to play OpenAI gym games In this implimentation, the algorithm runs the 'bipedal walker' game
- neale CPPN: CPPN my style. Generate reproducible random images - GitHub
CPPN Compositional Pattern Producing Network Implemented in Python3 with PyTorch This should work out of the box with just a couple packages:
- hardmaru cppn-gan-vae-tensorflow - GitHub
cppn-gan-vae tensorflow Train Compositional Pattern Producing Network as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images Run python train py from the command line to train from scratch and experiment with different settings
- GitHub - Evolving-AI-Lab cppnx: Source code of the CPPN-Explorer tool . . .
This repository contains the source code for the CPPN-Explorer (CPPN-X) tool, which allows the user to examine Compositional Pattern Producing Networks (CPPNs) such as Picbreeder com genomes The accompanying publication is: Huizinga J, Stanley K, Clune J (2017) "The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System" arXiv:1704 05143 If you use
- GitHub - kwj2104 CPPN-WGAN: Generative Art Experiments
Generative Art Experiments Contribute to kwj2104 CPPN-WGAN development by creating an account on GitHub
- GitHub - OptimusLime GPU-CPPN: Compositional Pattern Producing Networks . . .
Compositional Pattern Producing Networks running on CUDA code inside of a C++ evolutionary framework - GitHub - OptimusLime GPU-CPPN: Compositional Pattern Producing Networks running on CUDA code inside of a C++ evolutionary framework
- cppn-gan-vae tensorflow on CIFAR-10 - GitHub
CPPN Output after training on the Truck class of CIFAR-10 sampler py can be used inside IPython to interactively see results from the models being trained See my blog post at blog otoro net for more details on training on the MNIST set This version is an experimental hacked version of the MNIST model to train on CIFAR-10
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