OpenOOD VS DGFraud

Compare OpenOOD vs DGFraud and see what are their differences.

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection (by Jingkang50)
out-of-distribution-detection anomaly-detection open-set-recognition novelty-detection outlier-detection robustness
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DGFraud

A Deep Graph-based Toolbox for Fraud Detection (by safe-graph)
fraud-detection fraud-prevention anomaly-detection graph-algorithms graphneuralnetwork Machine Learning Opensource Toolkit Datamining Datascience spamdetection financial-engineering Security security-tools outlier-detection yelp-dataset dblp-dataset Graph graph-convolutional-networks graph-neural-networks
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OpenOOD DGFraud
2 16
755 655
- 3.4%
7.5 2.6
23 days ago about 2 years ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

OpenOOD

Posts with mentions or reviews of OpenOOD. We have used some of these posts to build our list of alternatives and similar projects.

DGFraud

Posts with mentions or reviews of DGFraud. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing OpenOOD and DGFraud you can also consider the following projects:

tods - TODS: An Automated Time-series Outlier Detection System

UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection

luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.

awesome-fraud-detection-papers - A curated list of data mining papers about fraud detection.

cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

SentryPeerHQ - Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)

getIPIntel - IP Intelligence is a free Proxy VPN TOR and Bad IP detection tool to prevent Fraud, stolen content, and malicious users. Block proxies, VPN connections, web host IPs, TOR IPs, and compromised systems with a simple API. GeoIP lookup available.

FraudDetection - Accounting Fraud Detection Using Machine Learning

OpenOOD vs tods DGFraud vs UGFraud OpenOOD vs luminaire DGFraud vs awesome-fraud-detection-papers OpenOOD vs cleanlab DGFraud vs SentryPeerHQ OpenOOD vs anomaly-detection-resources DGFraud vs anomaly-detection-resources OpenOOD vs pyod DGFraud vs pygod DGFraud vs getIPIntel DGFraud vs FraudDetection