shivkhurana/log-anomaly-detection-aws
Unsupervised Anomaly Detection system for Cybersecurity Log Analysis. Uses Isolation Forest to identify data exfiltration patterns and ransomware activity. Designed for deployment on AWS SageMaker.
Stars
—
Forks
—
Language
—
License
—
Category
Last pushed
Feb 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shivkhurana/log-anomaly-detection-aws"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
raphaelvallat/antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
Minqi824/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
vc1492a/PyNomaly
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier...
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques