Topic: fraud Goto Github
Some thing interesting about fraud
Some thing interesting about fraud
fraud,block pesky malicious pop ads.
User: adroitadorkhan
fraud,An analysis of the released data on FinCrime Files transactions as depicted on SARs.
User: ajeethaa
fraud,Experiment with Benford's Law to find data anomalies in number lists and images (Windows, macOS, Linux, .NET 8.0, x64, Arm64, Apple Silicon)
User: argentini
Home Page: https://nonsequiturs.com/
fraud,using HMM to detect credit card fraudulent transaction
User: ashkanmradi
fraud,Open-source infrastructure and data orchestration platform for risk decisioning
Organization: ballerine-io
Home Page: https://www.ballerine.com
fraud,Python script created for educational purposes. Chromium browsers cookies and passwords stealer, send via telegram
User: barbiewire
fraud,Prevent card-attack fraud on WooCommerce stores by rate-limiting the "place order" button
User: brianhenryie
fraud,🚨 Hoaxwagen detects Volkswagen in dependencies to prevent tests fraud
Organization: cleancode-group
fraud,Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
User: davidsvy
fraud,Music and text generation with Transformer-XL.
User: davidsvy
fraud,Classification of fraudulent credit card transactions.
User: dimtics
fraud,C#/Dotnet SDK for Fingerprint Pro Server API
Organization: fingerprintjs
Home Page: https://fingerprint.com
fraud,Go SDK for Fingerprint Pro Server API
Organization: fingerprintjs
fraud,Java SDK for Fingerprint Pro Server API
Organization: fingerprintjs
fraud,PHP SDK for Fingerprint Pro Server API
Organization: fingerprintjs
fraud,Python SDK for Fingerprint Pro Server API
Organization: fingerprintjs
fraud,Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
Organization: fingerprintjs
Home Page: https://fingerprint.com/github/
fraud,Code example used in the tutorial video for preventing multiple signups with FingerprintJS
Organization: fingerprintjs
Home Page: https://www.youtube.com/watch?v=jWX9P5_jZn8
fraud,A Flutter plugin for the native FingerprintJS Pro libraries
Organization: fingerprintjs
fraud,Node.js wrapper for FingerprintJS Server API
Organization: fingerprintjs
Home Page: https://dev.fingerprintjs.com/docs/server-api
fraud,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.
User: gitihubi
fraud,Fraud Detection in Transactions analysis using Deep Learning and exploiting Deep Transfer Learning technique for it.
User: himanshux101
fraud,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!
Organization: ibm
Home Page: https://developer.ibm.com/patterns/predicting-fraud-using-skewed-data/
fraud,Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.
Organization: jube-home
Home Page: https://www.jube.io
fraud,💰 Billing & Payments knowledge for cloud platforms
User: kdeldycke
fraud,Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
User: kennethleungty
Home Page: https://neptune.ai/blog/data-science-pipelines-with-kedro
fraud,Utilizing AutoXGB for Credit Card Financial Fraud Detection
User: kennethleungty
Home Page: https://towardsdatascience.com/autoxgb-for-financial-fraud-detection-f88f30d4734a
fraud,"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.
Organization: librax-ai
fraud,Protect online forms from spam by making them perform Proof of Work (PoW).
User: martindale
fraud,An online directory to list spammers, frauds or scammers. Search spammers by keywords. Report spammers in spamsort and share them to the world!
User: mohsinht
Home Page: http://spamsort.com
fraud,Case Studies on Forensic Accounting using Data Analysis
User: mschermann
fraud,MyAdmin MaxMind Fraud Plugin
Organization: myadmin-plugins
fraud,Every Social Security Number DO NOT STEAL!
User: panzertime
Home Page: https://secure.ssa.gov/ipff/home
fraud,PresentID Face Liveness Detection API
Organization: presentidco
Home Page: https://presentid.com/Demo/LivenessDetection
fraud,Modern Web Firewall: stop account takeovers, weak passwords, cloud IPs, DoS attacks, disposable emails
Organization: quarantyne
fraud,Python package for detecting copy-move attack on a digital image
User: rahmatnazali
Home Page: https://pypi.org/project/pimage/
fraud,Implementation of an intelligence system to detect the fraud cases on the basis of classification.
User: raviprakash11
Home Page: https://raviprakash11.github.io/CreditCardFraudDetectionSystem/
fraud,Ten Simples Rules for Scientific Fraud and Misconduct
User: rougier
fraud,Decentralized Social Network Money Frauds/Scams including BitClout / DeSo, Twetch, Steemit, PeakD
User: scottstirling
fraud,Protect your SIP Servers from bad actors at https://sentrypeer.org
Organization: sentrypeer
Home Page: https://sentrypeer.org
fraud,Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
Organization: sentrypeer
Home Page: https://sentrypeer.com
fraud,Ethereum Fraud Detection Models
User: sepandhaghighi
fraud,Ethereum Fraud Detection Visualization
User: sepandhaghighi
fraud,
User: sha-265
Home Page: https://coinmarketcrap.co
fraud,DNS Block Lists
User: shadowwhisperer
fraud,An etherum fraud detection system
User: sondosaabed
fraud,Leading open source version of browser device fingerprint, accurate deviceID and risk identification.
User: trustdecision
Home Page: https://trustdecision.com/solutions/trustdevice
fraud,Blossom bank plc wants to build a machine learning model that will predict online payment. The aim of this project was to develop a model that will predict online payment fraud. Data was collected and EDA was carried out on the dataset for proper visualization and understanding. ML algorithms were used to train and test the dataset.
User: wealthb90
fraud,Anomaly detection related books, papers, videos, and toolboxes
User: yzhao062
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