hardmaru/cppn-gan-vae-tensorflow

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Created over 8 years ago
Updated over 3 years ago

hardmaru/cppn-gan-vae-tensorflow

hardmaru

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Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

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.

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.

I tested the implementation on TensorFlow 0.60.

Used images2gif.py written by Almar Klein, Ant1, Marius van Voorden.

License

BSD - images2gif.py

MIT - everything else

estool

Evolution Strategies Tool

Jupyter Notebook

sketch-rnn

Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow

write-rnn-tensorflow

Generative Handwriting using LSTM Mixture Density Network with TensorFlow

slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

WorldModelsExperiments

World Models Experiments

Jupyter Notebook

pytorch_notebooks

tutorial notebooks

Jupyter Notebook

cppn-tensorflow

Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow

sketch-rnn-datasets

optional extra vector image datasets for sketch-rnn

neuralslimevolley

Neural Slime Volleyball

supercell

Jupyter Notebook

rnn-tutorial

RNN Tutorial for Artists

resnet-cppn-gan-tensorflow

Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.

backprop-neat-js

Neural Network Evolution Playground with Backprop NEAT

astool

Augmented environments with RL

Jupyter Notebook

image-notebook

Jupyter Notebook

gecco-tutorial-2019

2019 talk at GECCO

neurogram

mdn_jax_tutorial

Mixture Density Networks (Bishop, 1994) tutorial in JAX

Jupyter Notebook

presentations

cppn-gan-vae-cifar-tensorflow

First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.

netart-js

quick hacked together js demo to implement fixed-topology cppn in the web browser for interactive usage

sketch-rnn-flowchart

trained sketch-rnn / deployed with sketch-rnn-js on flowchart dataset

kanji2kanji

Reproduce domain transfer results in Deep Learning for Classical Japanese Literature

Jupyter Notebook

paperjs_box2d

demo of working with box2d and paper.js

RainbowSlimeVolley

Using Rainbow implementation in Chainer RL for Slime Volleyball Pixel Environment

sketch-rnn-poster

Poster for "A Neural Representation for Sketch Drawings" for ICLR 2018 Conference

rlzoo

fork of rl-baseline-zoo

quickdraw-ndjson-to-npz

Convert RAW Quickdraw datafiles into stroke-based .npz format with RDP at variable epsilon for sketch-rnn

Jupyter Notebook

sema-demo

sketch-rnn demo for seoul mediacity biennale 2018

diff-vae-tensorflow

skeleton variation encoder code in tensorflow

pybullet_animations

pybullet_animations

cma

Fork of cma-es library by Nikolaus Hansen

cantonese-list

List of 4000 Chinese characters sorted by historical usage frequency, with Cantonese yale romanization and definition

creatures

autonomous creatures written in processing / processing.js

zombie

A* search algorithm example, zombie chasing humans

tshirtai

batchnorm-convnet-mnist-tensorflow

self contained skeleton script for testing and training mnist convnet+batchnorm based classifier in tensorflow