Machine-readable .txt blocklist of fraudulent URLs and IP Addresses from the Ukrainian Interbank Payment Systems Member Association "EMA" (https://www.ema.com.ua) website, updated once a day.
-
Updated
May 29, 2024 - Python
Machine-readable .txt blocklist of fraudulent URLs and IP Addresses from the Ukrainian Interbank Payment Systems Member Association "EMA" (https://www.ema.com.ua) website, updated once a day.
Python package for detecting copy-move attack on a digital image
Anomaly detection related books, papers, videos, and toolboxes
Python SDK for Fingerprint Pro Server API
AI based Financial Fact Checker. To help investors make wise decisions instead of falling for tricks/enticement/fraud from FinFluencers
Data visualization provides a good, organized pictorial representation of the data which makes it easier to understand, observe, analyze.In this Pproject, we will provide codes for visualizing data using Python.
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
How to Use pySpark with TigerGraph's AML Sim Fraud Graph
Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
A PySpark fraud detection project on AWS EMR
Implementation of an intelligence system to detect the fraud cases on the basis of classification.
With this fraud-detection rule-engine app, you can upload your data and get back predictions.
Add a description, image, and links to the fraud topic page so that developers can more easily learn about it.
To associate your repository with the fraud topic, visit your repo's landing page and select "manage topics."