Python implementation of Local Outlier Factor algorithm.

DICE Anomaly detection tool

DICE Anomaly Detection Platform

Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.

Library for finding changes in time series by grouping results

Anomaly Detection In An IoT-Acquired Environmental Sensor Data

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

A time series anomaly generation tool for quickly generating anomalies in time series machine learning problems.

Intrusion detection and displacement monitoring from video sequences

Anomaly Generator on Time Series

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

Replicate Barberis, Jin, and Wang (2021)

[TF 2.x] PaDiM - unofficial tensorflow implementation of the paper 'a Patch Distribution Modeling Framework for Anomaly Detection and Localization'.

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

Use Isolation Forest and MLflow to prototype anomaly detection that could send email notification if there is any slight anomaly or empty.

An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"