random-cut-forest

Random Cut Forest

Random Cut Forest

Streaming anomaly detection in Rust - detectors, calibration, SOC triage. Powers eBPFsentinel

Random Cut Forest 3rd

WIF (Weighted Isolation Forest), WRCF (Weighted Random Cut Forest), and DAP (Density-Aware Partitioning): unified Python implementations for anomaly detection.

A production-ready, end-to-end machine learning pipeline for real-time credit card fraud detection, deployed on Amazon SageMaker using XGBoost + SMOTE and Random Cut Forest.

Real-time IoT attack detection pipeline: Kafka, Flink Random Cut Forest anomaly scoring, differentially private federated learning, Spark evaluation, TimescaleDB, Grafana and Prometheus on 2,400 simulated devices.

Real-Time Streaming Anomaly & Intrusion Detection System with Self-Supervised Online ML

IEEE-CIS Fraud Detection with Unsupervised Learning