ML-Network-Anomaly-Detector. ML Network Anomaly Detector is a professional PyQt6 tool for unsupervised network anomaly detection using IsolationForest. It supports CSV dataset loading, synthetic data generation, threaded training, interactive tables, and matplotlib visualizations. Full-screen and dark-themed QSS interface included.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.