linkedin/isolation-forest
A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
253 stars.
Stars
253
Forks
54
Language
Scala
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/linkedin/isolation-forest"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
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