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MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

Machine Learning In Java ⭐ 53

Machine-Learning-in-Java_code

Fraud_detection_techniques ⭐ 53

Logdata Anomaly Miner ⭐ 53

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.

Nupic.geospatial ⭐ 53

NuPIC demo app for geospatial anomaly detection.

List of datasets and papers in X-ray security images (Computer vision/Machine Learning)

Mimii_baseline ⭐ 52

A baseline sample code of anomaly detection for MIMII Dataset

Zeek_anomaly_detector ⭐ 51

A completely automated anomaly detector Zeek network flows files (conn.log).

Contrack ⭐ 50

Contour Tracking of circulation anomalies (atmospheric blocking, cyclones and anticyclones) in weather and climate data

Frame Level Anomalies In Videos ⭐ 50

Frame level anomaly detection and localization in videos using auto-encoders

We used generative adversarial networks (GANs) to do anomaly detection for time series data.

Anomaly Mono ⭐ 48

An unconventional monospaced font

Cs259d_notes_hw_cn ⭐ 48

本笔记是对课程CS 259D中涉及的论文和讲义的扩展，建议阅读原始论文和讲义。

A Rust implementation of the SGP4 satellite propagation algorithm

Mcw Iot And The Smart City ⭐ 47

MCW IoT and the Smart City

ADE detects anomalous time slices and messages in Linux logs (either RFC3164 or RFC5424 format) using statistical learning.

Threat Hunting With Notebooks ⭐ 47

Repository with Sample threat hunting notebooks on Security Event Log Data Sources

Oddstream ⭐ 46

oddstream {Outlier Detection in Data STREAMs} 🐟 🐟 🐟 🐟 🐠 🐟 🐟 🐟 🐟 🐟 🐟 🐟 🐟 🐟🐟

mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder

Tf Dagmm ⭐ 46

Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018

Python Machine Learning ⭐ 46

吴恩达（Andrew Ng）在coursera的机器学习课程习题的python实现

Anomaly Detection Kibana Plugin ⭐ 45

A Kibana plugin providing visualizations for anomaly detection in Open Distro for Elasticsearch.

AV Artifact Atlas (AVAA) is a community-built resource for identifying errors and anomalies in video files.

Heartbeat ⭐ 45

a prototype app for the Apple Watch designed for machine learning in healthcare

Javascript visualisation tool for anomalies and patterns in tabular data, using D3.

Medicare Demo ⭐ 44

A demo of how to use PageRank with Hadoop and SociaLite to identify anomalies in Healthcare Data

Data Driven Predictive Maintenance ⭐ 44

Oc Nn_old ⭐ 44

Models for one class neural networks

Spark Anomaly Detection ⭐ 43

Detecting outliers in a dataset using Spark

Sparkwiki ⭐ 42

Tsad Evaluator ⭐ 42

Intel Labs open source repository for time series anomaly detection evaluator

Anomalydetectionusingautoencoder ⭐ 42

Anomaly detection using Autoencoder implemented with Keras 2.

Elections ⭐ 41

Statistical anomalies in Russian elections

Rcapapers ⭐ 40

Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/

One Class Neuralnetwork ⭐ 39

Simplified implementation of one class neural network for nonlinear anomaly detection.

High Dimensional Deep Learning ⭐ 39

Science des données Saison 4 : Apprentissage en grande dimension, Données fonctionnelles, Détection d'anomalies, Introduction au Deep Learning

Anomaly_detection ⭐ 39

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Thermometr ⭐ 39

Open Source Anomaly Detection in Python

Jupyter2kibana ⭐ 38

A Workflow for Data Scientists to bring Jupyter Notebook Visualizations to Kibana Dashboards

Anomaly Detection ⭐ 37

Dcase2020_task2_baseline ⭐ 37

DCASE2020 Challenge Task 2 baseline system

Meta Aad ⭐ 37

[ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

Cora Docs ⭐ 36

Detection Rules ⭐ 36

Threat Detection & Anomaly Detection rules for popular open-source components

EVE Online anomaly ratting bot based on the Sanderling framework

Kubervisor ⭐ 36

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

Python implementation of MABED (Mention-Anomaly-Based Event Detection)

Open Source Security Information and event Management

Savanna Outliers ⭐ 35

Plug & Play Anomaly Detection

Anomaly Detector ⭐ 35

Anomaly detector for NodeJS

Khiva Ruby ⭐ 35

High-performance time series algorithms for Ruby

Mlwatcher ⭐ 34

A scikit-learn compatible library for anomaly detection

Satellite Telemetry Anomaly Detection ⭐ 33

Unsupervised machine learning techniques for detecting anomalies in LASP spacecraft telemetry

Zabbix_anomaly ⭐ 33

Anomaly detection score monitoring plugin for Zabbix

Iso_forest ⭐ 33

Simple implementation of Isolation Forest

Tilitools ⭐ 33

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

Metric_learning ⭐ 33

Metric Learning App Dev Resource

Engine Python ⭐ 32

A Python HTTP client to the Prelert Anomaly Detective Engine REST API - ARCHIVED

Arcticseals ⭐ 31

A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.

Anomalies Tools ⭐ 31

Anomalies handling tools

Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping

Nupic.subutai ⭐ 31

Subutai's personal nupic code and experiments

Uninformed Students Pytorch ⭐ 31

A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.

Thio - a playground for real-time anomaly detection

Network_anomaly_detection ⭐ 31

基于Django Restframework的异常检测系统，分析服务为Spark SQL和Spark Mllib，每天通过自动跑定时job从全量数据中导入正常数据供算法模型训

Anomaly Detection ⭐ 31

Dynamic anomaly detection in crowded scene videos using sparse autoencoders

Toyadmos Dataset ⭐ 31

Dataset and its sample codes for anomaly detection in sound.

ECG Anomaly Detection System using HTM

Anomaly_ar_net_icme_2020 ⭐ 30

This repository is for Weakly Supervised Video Anomaly Detection via Center-Guided Discriminative Learning(ICME 2020). The original paper can be found (https://ieeexplore.ieee.org/document/9102722) or (https://arxiv.org/abs/2104.07268)

Sanger Machine Learning Workshop ⭐ 30

Code for machine learning workshop given to Sanger Systems group

Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

Power Laws Anomalies ⭐ 30

Vae Anomaly Detector ⭐ 29

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

Anomaly Detection Patchsvdd Pytorch ⭐ 29

Anomaly_tuning ⭐ 29

Learning hyperparameters for unsupervised anomaly detection

Lsanomaly ⭐ 29

lsanomaly, a probabilistic anomaly detector for Python.

Terrain scanner plugin for KSP. This repository is outdated - maintenance has been taken over by DMagic years ago. You want this: https://github.com/S-C-A-N

Industrial Surface Inspection Datasets ⭐ 29

Datasets for industrial surface-inspection

Ts Anomaly Benchmark ⭐ 28

Time-Series Anomaly Detection Comprehensive Benchmark

iForest anomaly detection codes (Matlab Version)

Multitaskais ⭐ 28

A multi-task model for vessel monitoring using AIS data streams

Unanomaly ⭐ 28

A generic data anomaly finder. You can use a beautiful web page, drag-and-drop your csv dataset and easily find the top N anomalies in the data. No need to understand your dataset.

Fence_gan ⭐ 27

Fence GAN: Towards Better Anomaly Detection

Anomaly Detection Test ⭐ 27

Anomaly Detection

models and evaluation framework for trending topics detection

Massive Pcap Analyzer with Massive Multithreading (DEF CON 26)

Anomalydetection Keras ⭐ 26

Time Series Analysis With Python 3.x ⭐ 26

Time Series Analysis with Python 3.x [Video], published by Packt

Federated Ml ⭐ 26

Detect anomalies in network traffic data using Federated Machine Learning technique.

This is the realization of core DeepLog

Anomaly_detection ⭐ 25

Tinyml Example Anomaly Detection ⭐ 25

TinyML example showing how to do anomaly detection with Python and Arduino

A tool for anomaly detection over streaming data based on sentiment analysis

Anomaly_detection ⭐ 25

Nupic.critic ⭐ 25

Music critic hack from 2014 Spring Hackathon

Anomaly_detection ⭐ 25

anomaly detection with anomalize and Google Trends data

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Stream Smarts ⭐ 25

Real-time anomaly detection using Kafka, KSQL User Defined Function and a pre-trained model

Anomalydetection_cvpr18 ⭐ 24

Implementation of Real-World Anomaly Detection CVPR_2018 paper

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Python Anomaly (696)

Jupyter Notebook Anomaly (424)

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