Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".

Some anomalies that are similar to those found in the stalker game series

Lightweight, Extensible Query Watcher for Elasticsearch / Elassandra / Cassandra

Forward modelling for gravity anomalies

Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.

Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired during training, where normality and anomaly patterns are built using syntetic data

Replicate Barberis, Jin, and Wang (2021)

An approach for detecting tsunamis using anomaly detection anomalies on sTec d/dt data from orbiting GPS satellites.

A framework for time-series anomaly detection. The framework consists a prediction module and a detection module. Prediction module is based on LSTM and CNN. DTW is used in detection module .

Anomaly Detection Pipeline automates data preprocessing for unsupervised scenarios without labels.

In this repository we plot gravity, height and geoid heights via data downloaded from ICGEM and compared EGM98 and EGM2008 models.

Automating an audit task (Check README file)

Anomalies Detection in Metocean Simulation Results Framework

Investigative analysis of Zimbabwe's July 2018 harmonized elections using Python and data from Zimbabwe Electoral Commission (ZEC)