UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

offical implementation of TKDE paper "Deep isolation forest for anomaly detection"

⭐ An anomaly-based intrusion detection system.

implement the machine learning algorithms by python for studying

C++, rust, julia, python2, and python3 implementations of the Isolation Forest anomaly detection algorithm.

Security Analytics Engine - Anomaly Detection in Web Traffic

Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests

Anomaly detection using isolation forest

The code for Isolation Mondrian (iMondrian) forest for batch and online anomaly detection

Simple machine learning tool in Python (>=3.7) computing an anomaly score of seismic waveform amplitudes. By using a pre-trained Isolation forest model, the program can be used for identification of outliers in semismic data, assign robustness weights, or check instruments and metadata errors

Implementing and improving the State-Of-The-Art (non-DL based) Anomaly Detection algorithms.

An implementation of isolation forest algorithm to detect anomalies

outlier detection & k-means clustering

Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.

Detecting weather anomalies for Dublin Airport

__CourseWork__

Implementation of TKDE paper "Deep Isolation Forest for Anomaly Detection"

Generating feature importances for outliers identified through Isolation Forests

calibration of photographic film