The ultimate anomaly detection and its analytics.
MIT License
A curated list of applied machine learning and data science notebooks and libraries across differ...
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detectio...
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
A Python Library for Graph Outlier Detection (Anomaly Detection)
TODS: An Automated Time-series Outlier Detection System
Algorithms for outlier, adversarial and drift detection
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Univariate Time-Series Anomaly Detection algorithms from TSB-UAD
Automated Preprocessing Pipeline - DataFrame
General Assembly's 2015 Data Science course in Washington, DC
A Library for Advanced Deep Time Series Models.
A machine learning library for detecting anomalies in signals.
Most popular metrics used to evaluate object detection algorithms.
A Doctor for your data
(Semi) Automated Image Processing