Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
awesome deep-learning detection papers abnormal-events anomalies novelty-detection video-anomaly-detection surveillance-videos
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Sep 20, 2022
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anomalies
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Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
machine-learning probability outliers outlier-detection nearest-neighbors anomaly-detection outlier-scores anomalies
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Feb 4, 2026 - Python
Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction
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Jul 4, 2022 - Python
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
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May 5, 2020 - Python
Some anomalies that are similar to those found in the stalker game series
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Feb 22, 2026 - SQF
Forward modelling for gravity anomalies
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Sep 18, 2017 - MATLAB
This project uses the ELK Stack (Elasticsearch, Logstash, and Kibana) to analyze web application logs. It tracks user activities such as logins, registrations, password resets, and failed login attempts. Interactive dashboards built using Kibana provide insights and detect anomalies.
elasticsearch logstash web-app elk dashboards elk-stack anomalies web-app-logging web-app-log-analysis kibrana
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Aug 22, 2025 - JavaScript
Lightweight, Extensible Query Watcher for Elasticsearch / Elassandra / Cassandra
commandline alarm elasticsearch alerts query alert cassandra range series notification tolerance cql watcher jexl elassandra anomalies
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May 11, 2018 - JavaScript
An approach for detecting tsunamis using anomaly detection anomalies on sTec d/dt data from orbiting GPS satellites.
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Feb 17, 2026 - Jupyter Notebook
Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.
deep-learning agriculture neural-networks ensemble-learning image-segmentation semantic-segmantation anomalies crop-fields agricultural-ai
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May 24, 2021 - Python
Replicate Barberis, Jin, and Wang (2021)
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Mar 31, 2021 - Python
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
python machine-learning computer-vision deep-learning pytorch semi-supervised-learning anomaly-detection anomalies self-supervised-learning pytorch-lightning mvtec mvtec-ad
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Apr 14, 2023 - Python
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Mar 16, 2021 - HTML
Find data concentration patterns and hotspots. Built for fraud detection and risk analysis.
python data-science data-analysis anomalies-detection fraud-detection hotspots anomalies pattern-mining
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Jan 26, 2026 - Python
Identify anomalies in the user behaviour and prevent suspicious activity, in real time.
user-activity fraud-detection detect-anomalies user-intent user-behaviour anomalies predict-fraud user-behaviour-analysis
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May 7, 2025 - TypeScript
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 .
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Jan 10, 2019 - C++
In this repository we plot gravity, height and geoid heights via data downloaded from ICGEM and compared EGM98 and EGM2008 models.
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Sep 10, 2021 - MATLAB
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