Results for anomaly_detection

An Anomaly Detection Package

Time series anomaly detection for Rust

Tiny LLM inference for ESP32 microcontrollers with INT8/INT4 quantization, multi-chip federation, RuVector semantic memory, and SNN-gated energy optimization

Pure Rust system call tracer with source-aware correlation for Rust binaries

Multi-algorithm anomaly detection engine (Z-Score, IQR, MAD, CUSUM) for LLM telemetry

Behavioral anomaly detection and risk scoring for UVB authentication

Streaming anomaly detection toolkit — Random Cut Forest, per-feature drift, streaming sketches, SOC triage, hot-path ingress. Facade re-export of anomstream-core / anomstream-triage / anomstream-hotpath.

Lightweight anomaly detection for operations metrics

A sophisticated real-time anomaly detection system for ADS-B aircraft data with multi-tier detection algorithms, real-time web dashboard, and production-grade architecture built in Rust

Core streaming anomaly detectors + companion primitives (Random Cut Forest, per-feature EWMA / CUSUM, drift detectors, streaming stats) — part of the anomstream toolkit

SOC-opinionated triage layer (Platt calibration, SAGE attribution, alert clustering, feedback, audit) on top of anomstream-core

High-cadence ingress primitives (UpdateSampler, PrefixRateCap, bounded MPSC channel) for eBPF-style classifier/updater thread splits on top of anomstream-core

Real-time semantic telemetry and AI-driven anomaly detection for industrial networks. Global QUDT/SI standards compliance with zero-overhead multi-language support (EN/SK). NIS2-ready monitoring for critical infrastructure and Zero-Trust environments.