Tokyo

hardmaru

Elite
@hardmaru

I make simple things with neural networks.

estool. Evolution Strategies Tool

960

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

814

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

786

WorldModelsExperiments. World Models Experiments

719

write-rnn-tensorflow. Generative Handwriting using LSTM Mixture Density Network with TensorFlow

703

pytorch_notebooks. tutorial notebooks

393

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

347

cppn-tensorflow. Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow

318

sketch-rnn-datasets. optional extra vector image datasets for sketch-rnn

220

neuralslimevolley. Neural Slime Volleyball

215

supercell. supercell

192

rnn-tutorial. RNN Tutorial for Artists

186

backprop-neat-js. Neural Network Evolution Playground with Backprop NEAT

147

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

126

astool. Augmented environments with RL

104

image-notebook. image-notebook

96

neurogram. neurogram

68

gecco-tutorial-2019. 2019 talk at GECCO

68

mdn_jax_tutorial. Mixture Density Networks (Bishop, 1994) tutorial in JAX

61

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

44

presentations. presentations

44

cppn-gan-vae-cifar-tensorflow. First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.

39

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

36

convnetjs. Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

31

kanji2kanji. Reproduce domain transfer results in Deep Learning for Classical Japanese Literature

31

paperjs_box2d. demo of working with box2d and paper.js

31

RainbowSlimeVolley. Using Rainbow implementation in Chainer RL for Slime Volleyball Pixel Environment

23

sketch-rnn-poster. Poster for "A Neural Representation for Sketch Drawings" for ICLR 2018 Conference

22

rlzoo. fork of rl-baseline-zoo

21

magenta-js. Magenta.js: Music and Art Generation with Machine Intelligence in the Browser

20

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

19

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

14

sema-demo. sketch-rnn demo for seoul mediacity biennale 2018

13

diff-vae-tensorflow. skeleton variation encoder code in tensorflow

12

cma. Fork of cma-es library by Nikolaus Hansen

12

pybullet_animations. pybullet_animations

12

magenta-demos. Demonstrations of Magenta Models

8

Dynamic_Neural_Manifold. Jupyter Notebook

7

creatures. autonomous creatures written in processing / processing.js

7

PyTorch-NEAT. Python

7

DeepPrivacy. DeepPrivacy: A Generative Adversarial Network for Face Anonymization

6

tensorflow_with_latest_papers. Implementation of Newest RNN and Seq2Seq Features

6

fast-weights. Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)

6

trpo. Trust Region Policy Optimization with TensorFlow and OpenAI Gym

6

gym. A toolkit for developing and comparing reinforcement learning algorithms.

5

zombie. A* search algorithm example, zombie chasing humans

5

WorldModels. World Models with TensorFlow 2

5

NeurIPS19-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.

4

worldmodels.github.io. World Models

4

tshirtai.

3

recurrentjs. Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.

3

char-rnn-tensorflow. Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

3

chainerrl. ChainerRL is a deep reinforcement learning library built on top of Chainer.

2

bnlstm. Batch normalized LSTM for tensorflow

2

bullet3. Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

2
55
Apply