EdgarLopezPhD / PaySimLinks
Financial Simulator of Mobile Money Service
☆117Updated 4 years ago
Alternatives and similar repositories for PaySim
Users that are interested in PaySim are comparing it to the libraries listed below
Sorting:
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆334Updated 4 months ago
- AML End to End Example☆55Updated 3 years ago
- Synthetic Credit Card Transaction Generator used in the Sparkov program.☆165Updated 3 years ago
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆106Updated last year
- PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms.…☆283Updated 2 weeks ago
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆228Updated last year
- Repository for Fraud Dataset Benchmark☆242Updated 2 years ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆52Updated last year
- A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scal…☆251Updated 2 weeks ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions…☆68Updated 4 months ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆47Updated 4 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 …☆207Updated 6 years ago
- Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams☆38Updated 3 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆82Updated 2 years ago
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆357Updated 4 months ago
- An End-to-end Outlier Detection System☆257Updated 2 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Updated 3 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- Record matching and entity resolution at scale in Spark☆36Updated 2 years ago
- openclean - Data Cleaning and data profiling library for Python☆83Updated 4 years ago
- Anomaly detection algorithm implemented at Twitter☆114Updated 2 years ago
- Graph Machine Learning, published by Packt☆339Updated last month
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆136Updated 3 years ago
- ☆109Updated 2 years ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆121Updated 2 years ago
- The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.☆129Updated 2 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆43Updated 5 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 4 years ago