Popular GitHub Repositories for Credit Card Fraud

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

Anomaly detection related books, papers, videos, and toolboxes

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

A Python Library for Graph Outlier Detection (Anomaly Detection)

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

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

OpenKYC Community Project, Face Recognition & Face Liveness Detection (Face Anti Spoofing) & ID Document Recognition

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

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)

Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

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

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

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.