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150 search results found

Pycaret ⭐ 8,130

An open-source, low-code machine learning library in Python

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Anomaly Detection Resources ⭐ 7,616

Anomaly detection related books, papers, videos, and toolboxes

Darts ⭐ 6,903

A python library for user-friendly forecasting and anomaly detection on time series.

Merlion ⭐ 3,179

Merlion: A Machine Learning Framework for Time Series Intelligence

Awesome Ts Anomaly Detection ⭐ 2,320

List of tools & datasets for anomaly detection on time-series data.

Awesome Anomaly Detection ⭐ 2,146

A curated list of awesome anomaly detection resources

A high-level machine learning and deep learning library for the PHP language.

Ailia Models ⭐ 1,708

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Time Series Transformers Review ⭐ 1,519

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Surpriver ⭐ 1,275

Find big moving stocks before they move using machine learning and anomaly detection

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Pygod ⭐ 1,138

A Python Library for Graph Outlier Detection (Anomaly Detection)

Training_extensions ⭐ 1,119

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

TODS: An Automated Time-series Outlier Detection System

Loglizer ⭐ 1,062

A log analysis toolkit for automated anomaly detection [ISSRE'16]

A machine learning library for detecting anomalies in signals.

Getting Things Done With Pytorch ⭐ 873

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Datastream.io ⭐ 761

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

Awesome Aiops ⭐ 747

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

ELKI Data Mining Toolkit

Chaos_genius ⭐ 671

ML powered analytics engine for outlier detection and root cause analysis.

Awesome Ai For Time Series Papers ⭐ 627

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Adbench ⭐ 609

Official Implement of "ADBench: Anomaly Detection Benchmark".

Handson Unsupervised Learning ⭐ 604

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Awesome Timeseries Spatiotemporal Lm Llm ⭐ 541

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Deep Svdd Pytorch ⭐ 538

A PyTorch implementation of the Deep SVDD anomaly detection method

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

Awesome Time Series ⭐ 429

Resources for working with time series and sequence data

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

A robust streaming log template miner based on the Drain algorithm

2018 Machinelearning Lectures Esa ⭐ 324

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Pynomaly ⭐ 295

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

Deep Sad Pytorch ⭐ 268

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Openuba ⭐ 264

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

LogAI - An open-source library for log analytics and intelligence

An End-to-end Outlier Detection System

Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.

Awesome Deep Graph Anomaly Detection ⭐ 215

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

Isolation Forest ⭐ 211

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

Ee Outliers ⭐ 204

Open-source framework to detect outliers in Elasticsearch events

Repository for the Explainable Deep One-Class Classification paper

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Deep Learning For Hackers ⭐ 196

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Machine Learning ⭐ 196

从零基础开始机器学习之旅

Pwpae Concept Drift Detection And Adaptation ⭐ 175

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

Abnormal_event_detection ⭐ 172

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Ml Course ⭐ 168

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Foremast ⭐ 129

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable

Kitnet Py ⭐ 124

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Densratio_py ⭐ 120

A Python Package for Density Ratio Estimation

Deep Svdd ⭐ 116

Repository for the Deep One-Class Classification ICML 2018 paper

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Anomaly Detection ⭐ 100

Anomaly detection algorithm implementation in Python

Pyanomaly ⭐ 92

Useful Toolbox for Anomaly Detection

Cyber Security ⭐ 89

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

An Unsupervised Graph-based Toolbox for Fraud Detection

Quick and Easy Time Series Outlier Detection

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Awesome Graph Anomaly Detection ⭐ 78

A collection of papers for graph anomaly detection, and published algorithms and datasets.

Aiops Learning Resources ⭐ 75

收集AIOPS（智能运维），时间序列，异常检测，关联分析，告警收敛，根因分析，数据挖掘，机器学习，深 learning resources for AIOPS (Intelligent Operation and Maintenance), time series, anomaly detection, correlation analysis, alarm convergence, root cause analysis, data mining, machine learning, and deep learning. Welcome star.

Df Ml Anomaly Detection ⭐ 69

Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)

Streamad ⭐ 63

Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

Fedot.industrial ⭐ 62

Python framework for automated time series classification, object recognition and anomaly detection

[NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection. Feel free to explore the brand new anomaly detection setting using our dataset🪀!

Dgfraud Tf2 ⭐ 57

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

A Detector ⭐ 56

⭐ An anomaly-based intrusion detection system.

Predictive Maintenance ⭐ 56

Datasets for Predictive Maintenance

Time series based anomaly detector

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

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.

Ods Anomalydetection ⭐ 50

Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.

Entropic Out Of Distribution Detection ⭐ 47

Add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

Fraud Detection Papers ⭐ 45

Learning Fraud Detection from research papers and industry applications.

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Libmaxdiv ⭐ 41

Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.

Anomaly Detection In Networks Using Machine Learning ⭐ 40

A thesis submitted for the degree of Master of Science in Computer Networks and Security

Dcase2020_task2_baseline ⭐ 37

DCASE2020 Challenge Task 2 baseline system

Cikm22 Tfad ⭐ 37

Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis

A scikit-learn compatible library for anomaly detection

Distinction Maximization Loss ⭐ 34

Improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

Tilitools ⭐ 33

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

Tsad Model Selection ⭐ 32

Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.

Inspection of Power Line Assets: the Dataset (InsPLAD)

Thio - a playground for real-time anomaly detection

An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

Vae Anomaly Detector ⭐ 29

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

Ts Anomaly Benchmark ⭐ 28

Time-Series Anomaly Detection Comprehensive Benchmark

Package for Time Series Forecasting and Anomaly Detection Problems.

Python package for time series analysis and machine learning

Ellipticplusplus ⭐ 26

Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses

Anomaly_detection ⭐ 25

anomaly detection with anomalize and Google Trends data

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

Autobrewml ⭐ 24

With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.

Loudml Grafana App ⭐ 23

Visualization panel and datasource for Grafana to connect with Loud ML AI solution for ICT and IoT automation

Syntheticsun ⭐ 23

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

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