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estool. Evolution Strategies Tool
960sketch-rnn. Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow
814slimevolleygym. A simple OpenAI Gym environment for single and multi-agent reinforcement learning
786WorldModelsExperiments. World Models Experiments
719write-rnn-tensorflow. Generative Handwriting using LSTM Mixture Density Network with TensorFlow
703pytorch_notebooks. tutorial notebooks
393cppn-gan-vae-tensorflow. Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
347cppn-tensorflow. Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow
318sketch-rnn-datasets. optional extra vector image datasets for sketch-rnn
220neuralslimevolley. Neural Slime Volleyball
215supercell. supercell
192rnn-tutorial. RNN Tutorial for Artists
186backprop-neat-js. Neural Network Evolution Playground with Backprop NEAT
147resnet-cppn-gan-tensorflow. Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.
126astool. Augmented environments with RL
104image-notebook. image-notebook
96neurogram. neurogram
68gecco-tutorial-2019. 2019 talk at GECCO
68mdn_jax_tutorial. Mixture Density Networks (Bishop, 1994) tutorial in JAX
61netart-js. quick hacked together js demo to implement fixed-topology cppn in the web browser for interactive usage
44presentations. presentations
44cppn-gan-vae-cifar-tensorflow. First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.
39sketch-rnn-flowchart. trained sketch-rnn / deployed with sketch-rnn-js on flowchart dataset
36convnetjs. Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
31kanji2kanji. Reproduce domain transfer results in Deep Learning for Classical Japanese Literature
31paperjs_box2d. demo of working with box2d and paper.js
31RainbowSlimeVolley. Using Rainbow implementation in Chainer RL for Slime Volleyball Pixel Environment
23sketch-rnn-poster. Poster for "A Neural Representation for Sketch Drawings" for ICLR 2018 Conference
22rlzoo. fork of rl-baseline-zoo
21magenta-js. Magenta.js: Music and Art Generation with Machine Intelligence in the Browser
20quickdraw-ndjson-to-npz. Convert RAW Quickdraw datafiles into stroke-based .npz format with RDP at variable epsilon for sketch-rnn
19cantonese-list. List of 4000 Chinese characters sorted by historical usage frequency, with Cantonese yale romanization and definition
14sema-demo. sketch-rnn demo for seoul mediacity biennale 2018
13diff-vae-tensorflow. skeleton variation encoder code in tensorflow
12cma. Fork of cma-es library by Nikolaus Hansen
12pybullet_animations. pybullet_animations
12magenta-demos. Demonstrations of Magenta Models
8Dynamic_Neural_Manifold. Jupyter Notebook
7creatures. autonomous creatures written in processing / processing.js
7PyTorch-NEAT. Python
7DeepPrivacy. DeepPrivacy: A Generative Adversarial Network for Face Anonymization
6tensorflow_with_latest_papers. Implementation of Newest RNN and Seq2Seq Features
6fast-weights. Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
6trpo. Trust Region Policy Optimization with TensorFlow and OpenAI Gym
6gym. A toolkit for developing and comparing reinforcement learning algorithms.
5zombie. A* search algorithm example, zombie chasing humans
5WorldModels. World Models with TensorFlow 2
5NeurIPS19-SBDRL. Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-Dupré, M. Garcia-Ortiz and D. Filliat.
4worldmodels.github.io. World Models
4tshirtai.
3recurrentjs. Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.
3char-rnn-tensorflow. Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
3chainerrl. ChainerRL is a deep reinforcement learning library built on top of Chainer.
2bnlstm. Batch normalized LSTM for tensorflow
2bullet3. Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
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