Popular GitHub Repositories for Payment Fraud

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

Anomaly detection related books, papers, videos, and toolboxes

Metering and Billing for AI, API and DevOps. Collect and aggregate millions of usage events in real-time and enable usage-based billing.

A Python Library for Graph Outlier Detection (Anomaly Detection)

An open-source AI framework for developers and entrepreneurs. Deploy in minutes. Use its visual DIY interface to build native AI apps with full monetization (marketing, billing, payment) — zero code needed. User-friendly for non-tech users.

A Deep Graph-based Toolbox for Fraud Detection

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

An open-source AI framework for developers and entrepreneurs. Deploy in minutes. Use its visual DIY interface to build native AI apps with full monetization (marketing, billing, payment) — zero code needed. User-friendly for non-tech users.

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

The A2A x402 Extension brings cryptocurrency payments to the Agent-to-Agent (A2A) protocol, enabling agents to monetize their services through on-chain payments. This extension revives the spirit of HTTP 402 "Payment Required" for the decentralized agent ecosystem.

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

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)

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

Make Payments Crypto Native. MugglePay makes merchants and AI agents accept crypto and sell more with it.

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Open-source ad fraud detection for small businesses using machine learning. Detect click fraud and bot traffic from Google Ads, Facebook Ads, and other platforms. Completely free.