A

anomaly-detection

Full stack IoT predictive maintenance platform with embedded firmware, sensor telemetry, FastAPI services, PostgreSQL storage, dashboards and anomaly detection.

Self-learning diagnostics agent for GNU/Linux that uses unsupervised machine learning to detect anomalies in system logs in real-time.

OrbitReasoning Core is an AGPL 3.0+ autonomous AI Network Operations Center designed for satellite, spacecraft, and aerial system management. It replaces traditional monitoring with simulation-first reasoning that computes outcomes before actions are taken. The system ingests real-time telemetry, builds orbital state graphs, runs predictive digital twin simulations, and produces governed, explainable decisions for anomaly response, collision avoidance, and constellation optimization across large-scale space networks. https://roxanneardary.com/orbitreasoning-core/

PulseCheck is an open-source dynamic code intelligence platform that monitors and analyzes code at runtime. It detects TODOs, decoy or unused functions, anti-distillation tricks, and security/safety issues. Leveraging AI and machine learning, PulseCheck provides anomaly detection, predictive TODO analysis, behavior clustering, and runtime insights, giving developers actionable intelligence to secure, optimize, and complete their code from draft to deployed. https://roxanneardary.com/pulsecheck/

AI-Powered Network Packet Analyzer with ML Anomaly Detection - Scapy/scikit-learn, detects port scans, DNS tunneling, DDoS, C2 beaconing, data exfiltration. For authorized security monitoring only.

https://ayinedjimi-consultants.fr

Intelligent Log Parsing and Anomaly Detection with Machine Learning

https://ayinedjimi-consultants.fr

Hệ thống phát hiện bất thường trên log HDFS bằng machine learning truyền thống, hỗ trợ tiền xử lý, benchmark, huấn luyện, đánh giá và dự đoán trên nhiều mô hình

A pure PyTorch implementation of the Local Outlier Probabilities (LoOP) algorithm for efficient anomaly detection.