A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Anomaly detection related books, papers, videos, and toolboxes

A curated list of data mining papers about fraud detection.

A Python Library for Graph Outlier Detection (Anomaly Detection)

Extract and aggregate threat intelligence.

A Deep Graph-based Toolbox for Fraud Detection

StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.

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

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is …

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

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

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

Find phishing kits which use your brand/organization's files and image.

A free cryptowallet risk scoring tool with fully explainable scoring.

甜橙金融初赛Rank1

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

An Unsupervised Graph-based Toolbox for Fraud Detection

Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

MemStream: Memory-Based Streaming Anomaly Detection