Here we discuss how one can investigate crypto hacks and security incidents, and collect all the possible tools and manuals! PRs are welcome! If any tool is missing - please open PR!

Marble - the real time decision engine for fraud and AML

AML/CTF/KYC/OFAC Search of global watchlist and sanctions

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Rust library for parsing ACPI tables and interpreting AML

LAI is an interpreter for AML, the ACPI Machine Language.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Template for getting started with automated ML Ops on Azure Machine Learning

API for OpenSanctions with support for entity search and bulk matching of data collections. Supports Reconciliation API spec.

A resource full of Crypto/OSINT tools, techniques and training courses for CTI, AML, and forensic investigations.

Customer registry supporting Know Your Customer (KYC), Customer Identification Program (CIP), and OFAC checks

A tool for managing Aras Innovator installations focusing on improving the import/export experience.

Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).

Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring

GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.

Client library for communicating with Aras Innovator

The PHP SDK for interacting with the Yoti Platform

微软机器学习（Azure Machine Learning）快速入门与实战

GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.

display ethereum network as graph