A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

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Summary of social recommendation papers and codes

A collection of research and survey papers of fraud detection mainly in advertising.

Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks

Graph Neural Network based Social Recommendation Model. SIGIR2019.

Optimize and improve the Label propagation algorithm

Basic data mining model, including feature importance display

Lime: Explaining the predictions of any machine learning classifier

Papers on Computational Advertising

Attention mechanism Implementation for Keras.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Machine learning resources，including algorithm, paper, dataset, example and so on.

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

XAI - An eXplainability toolbox for machine learning

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Apache Spark

Pure Java implementation of XGBoost predictor for online prediction tasks.

Coursera 机器学习基石 机器学习技法 林轩田 课堂PPT、作业及课堂笔记。

Decentralized Secret Note

A simple Blockchain in Python

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