A free cryptowallet risk scoring tool with fully explainable scoring.
AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.
Anti Money Laundering Detection using Graph Attention Network
Open-source, real-time Anti-Money Laundering (AML) transaction monitoring.
Using GCN/GAT with keras to detect money laundering in the Bitcoin Blockchain, using the Elliptic Dataset.
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Risk Propagation
This repo demonstrates a bank’s transaction clearing process, utilizing generative AI for real-time fraud detection and AML compliance, enhancing the detection of evolving fraudulent techniques.
AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.
An implementation of FOREST in solidity.
Personal take on GraphDB + AML with AWS Neptune + Glue + Lambda.
Utilize the machine Learning to classify transactions as fraudulent(1) or non-fraudulent(0).
玉山人工智慧公開挑戰賽2020夏季賽 - NLP應用挑戰賽
Official AMLTRIX Data Exports – Versioned STIX 2.1 bundles, CSVs, XLSX files, and ATT&CK Navigator layers representing the latest AMLTRIX knowledge graph of adversarial behaviors in financial crime. See framework.amltrix.com for methodology and usage.
Identity verification plugin for WordPress
This project uses data from Flashback Forum to map crimes and their locations in Sweden by analyzing user-generated posts and discussions as an unfiltered alternative to traditional sources.
OpenAML, developed by Team CypherSentinel, was the winning project of the DTCC AI Hackathon
Data science projects at Aboitiz
XmlGoaml is a .NET project designed for processing XML data with advanced validation against XSD schemas, specifically targeting reports related to financial intelligence and suspicious activity reporting, aligned with the goAML standards.
Completed for IMI Big Data & AI Competition 2025, providing solution for Anti-Money-Laundering with unsupervised learning techniques
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