xuxinzhang

CFGAN

Implementation of CFGAN CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

APL

Tensorflow implementation of Adversarial Pairwise Learning (APL)

CommunityGAN

A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

GraphGAN

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

pytorch-CFGAN

The Implementation of CFGAN

xuxinzhang/pytorch-CFGAN

The Implementation of CFGAN

xuxinzhang/ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

xuxinzhang/APL

Tensorflow implementation of Adversarial Pairwise Learning (APL)

xuxinzhang/CommunityGAN

A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)

xuxinzhang/DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

xuxinzhang/DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

xuxinzhang/gcn

Implementation of Graph Convolutional Networks in TensorFlow

xuxinzhang/gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

xuxinzhang/GraphGAN

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

xuxinzhang/InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

xuxinzhang/Keras-GAN

Keras implementations of Generative Adversarial Networks.

xuxinzhang/LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

xuxinzhang/PGA-attack

The implementation for PGA-attack and SGLD-attack (NIPS2016)

xuxinzhang/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

xuxinzhang/pytorch-stable-diffusion

Stable Diffusion implemented from scratch in PyTorch

xuxinzhang/Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

xuxinzhang/SparrowRecSys

A Deep Learning Recommender System

xuxinzhang/tflearn

Deep learning library featuring a higher-level API for TensorFlow.

xuxinzhang/xuxinzhang.github.io

xuxinzhang/zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.