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adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

advt4ne_www2019

Adversarial Training Methods for Network Embedding, WWW2019.

algorithmssedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

algs4

Algorithms, 4th edition textbook code and libraries

ambient-gan

Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"

cane

Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

context-selection-embedding

Context Selection for Embedding Models

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deepgenerativemodels

A collection of deep generative models and their implementations.

deepwalk

DeepWalk - Deep Learning for Graphs

discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

elf

ELF: a platform for game research

fasttext

Library for fast text representation and classification.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gensim

Topic Modelling for Humans

gmnn

Graph Markov Neural Networks

google-research

Google AI Research

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graphgan

Implementation of GraphGAN in tensorflow

graphrnn

graphsage

Representation learning on large graphs using stochastic graph convolutions.

improved-gan

code for the paper "Improved Techniques for Training GANs"

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

leetcode

:pencil: Python / C++ 11 Solutions of LeetCode Questions

leetcode-1

LeetCode In Action - Python (384+/394)