There are 2 repositories under anomalies topic.
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
Forward modelling for gravity anomalies
Some anomalies that are similar to those found in the stalker game series
Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.
Replicate Barberis, Jin, and Wang (2021)
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
In this repository we plot gravity, height and geoid heights via data downloaded from ICGEM and compared EGM98 and EGM2008 models.
Anomalies Detection in Metocean Simulation Results Framework
Consolidated view of incidents, anomalies, and issues across all accessible accounts
Automating an audit task (Check README file)
Investigative analysis of Zimbabwe's July 2018 harmonized elections using Python and data from Zimbabwe Electoral Commission (ZEC)
Archive of all the code used for the graphs in my thesis on Anomalies in Quantum Mechanics
Web application for detecting anomalies
Testing out optimal magic numbers for the old fast inverse square root function.
Anomaly Detection Basics
The aim of the project is plotting the height anomaly values with contour lines on planet Mars also specially around Perseverance rover and Mount Olympus.
Application of anomalies detecting and imputing algorithms for improving the LightGBM regressor.
This repository aims to identify discords in time series data using the HOT SAX publication as a role model. The base code is result of the work of Dr. Christian Gruhl, while alterations to add the alternative to HOT are the work of this student project.
Unsupervised anomaly detection on COCO-style masked objects, comparison of results using various state-of-the-art deep autoencoders
Built a few anomaly detection models to determine the anomalies from the data
Веб-приложение и набор утилит, которые обрабатывают данные World Ocean Database и ICES для обновления референсных значений океанографических характеристик (норм и аномалий) на разрезе "Кольский Меридиан" и построения отчетных изображений для лаб. ОиР ММБИ РАН.
Seasonal ESD is an anomaly detection algorithm implemented at Twitter: https://arxiv.org/pdf/1704.07706.pdf
Exploratory data analysis of white wines data set to understand its chemical propertie using ggplot2 library of R
[done] A set of daily tasks to learn the basics of PostgreSQL