Showing 6 of 42 projects
Suricata rules for network anomaly detection and threat hunting.
A Python probabilistic programming framework for objective model selection in time-varying parameter time series models.
A Clojure library implementing Hierarchical Temporal Memory (HTM) for temporal sequence learning and prediction.
An open-source framework for developing large-scale anomaly detection models using Apache Spark.
A low-interaction client honeypot that detects malicious websites using signature, anomaly, and pattern matching techniques.
A comprehensive Random Forest implementation in Go with extensions for deep forests, continuous learning, feature selection, and anomaly detection.
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