zcrwind Goto Github PK

google-research

Google AI Research

grammarvae

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

graph-lstm

LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods

graph-vae

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

graphical-gan

source code of the paper Graphical Generative Adversarial Networks

graphnn

Training computational graph on top of structured data (string, graph, etc)

graphsage

Representation learning on large graphs using stochastic graph convolutions.

gridlstm-pytorch

An implementation of the grid LSTM network for PyTorch

hankerzheng.com

This is the source code for my personal website.

heer

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

hin2vec

Heterogeneous information network representation learning

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

how_to_generate_video

This is the code for "How to Generate Video - Intro to Deep Learning #15' by Siraj Raval on YouTube

iclr19-graph2graph

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

icml2016

Generative Adversarial Text-to-Image Synthesis

igan

Interactive Image Generation via Generative Adversarial Networks

imitation

Code for the paper "Generative Adversarial Imitation Learning"

improved-gan

code for the paper "Improved Techniques for Training GANs"

indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

infogan-pytorch

implement infoGAN using pytorch

inverse_rl

just

k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-molecules

Autoencoder network for learning a continuous representation of molecular structures.

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

kinetics_i3d_pytorch

Inflated i3d network with inception backbone, weights transfered from tensorflow