Browser fingerprinting library with the highest accuracy and stability.

💰 Billing & Payments Knowledge for Cloud Platforms

Modern Web Firewall: stop account takeovers, weak passwords, cloud IPs, DoS attacks, disposable emails

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.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.

Decentralized Social Network Money Frauds/Scams including BitClout, Twetch, Steemit, PeakD

Case Studies on Forensic Accounting using Data Analysis

🚨 Hoaxwagen detects Volkswagen in dependencies to prevent tests fraud

Classification of fraudulent credit card transactions.

Protect online forms from spam by making them perform Proof of Work (PoW).

Ten Simples Rules for Scientific Fraud and Misconduct

MyAdmin MaxMind Fraud Plugin

Music and text generation with Transformer-XL.

An online directory to list spammers, frauds or scammers. Search spammers by keywords. Report spammers in spamsort and share them to the world!

Code example used in the tutorial video for preventing multiple signups with FingerprintJS

MyAdmin FraudRecord Fraud Plugin

A fraud analysis tool used to check for invalid and disposable email domains.

using HMM to detect credit card fraudulent transaction

Fraud Detection in Transactions analysis using Deep Learning and exploiting Deep Transfer Learning technique for it.

With this fraud-detection rule-engine app, you can upload your data and get back predictions.

Implementation of an intelligence system to detect the fraud cases on the basis of classification.

This project intends to solve the house hunt problem by sending the updates of new listings as per the selection criteria of the user by filtering spam in housing listings using NLP. It uses SMTP to send emails, nltk for NLP and tkinter for creating UI

Review of Dr. Shiva's Analysis of the Michigan 2020 Presidential Election

Fraud & data analysis on E-commerce transactions data set

Detecting fraud in real-time using machine learning and data analysis. Web app for ease of use.

An analysis of the released data on FinCrime Files transactions as depicted on SARs.

Credit Card Fraud Analysis and Detection - - Anonymized credit card transactions labeled as fraudulent or genuine. The project was intended to detect fraudulent transactions from a highly imbalanced dataset.

This project is from Kaggle - Credit Card Fraud Detection

Python code to track voter fraud by parsing and locating data with Google's JS API.