ieee-fraud-detection

Anomaly detection related books, papers, videos, and toolboxes

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A Python Library for Graph Outlier Detection (Anomaly Detection)

AI比赛相关信息汇总

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)