Stable Diffusion implemented from scratch in PyTorch

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

A Deep Learning Recommender System

PyTorch implementations of Generative Adversarial Networks.

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

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.

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）

《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

Keras implementations of Generative Adversarial Networks.

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

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, suc…

Implementation of Graph Convolutional Networks in TensorFlow

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/explana…

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

Tensorflow implementation of Adversarial Pairwise Learning (APL)

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

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