Awesome Open Source

Programming Languages

Search results for anomaly detection

anomaly-detection x

705 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

Stumpy ⭐ 2,901

STUMPY is a powerful and scalable Python library for modern time series analysis

Anomalib ⭐ 2,796

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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.

Flow Forecast ⭐ 1,759

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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.

Loghub ⭐ 1,402

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Logparser ⭐ 1,358

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Sentinl ⭐ 1,331

Kibana Alert & Report App for Elasticsearch

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

Repo 2017 ⭐ 1,146

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Pygod ⭐ 1,138

A Python Library for Graph Outlier Detection (Anomaly Detection)

Egads ⭐ 1,136

A Java package to automatically detect anomalies in large scale time-series data

Training_extensions ⭐ 1,119

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

Aiops Handbook ⭐ 1,102

Collection of slides, repositories, papers about AIOps

Luminol ⭐ 1,093

Anomaly Detection and Correlation library

TODS: An Automated Time-series Outlier Detection System

Loglizer ⭐ 1,062

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

Coursera Ml Py ⭐ 1,032

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A Python toolkit for rule-based/unsupervised anomaly detection in time series

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.

Telemanom ⭐ 793

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Rnn Time Series Anomaly Detection ⭐ 769

RNN based Time-series Anomaly detector model implemented in Pytorch.

Ganomaly ⭐ 767

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

ELKI Data Mining Toolkit

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Openood ⭐ 681

Benchmarking Generalized Out-of-Distribution Detection

Chaos_genius ⭐ 671

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

Awesome Industrial Anomaly Detection ⭐ 670

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Luminaire ⭐ 660

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Segment Any Anomaly ⭐ 628

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

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.

Time Series Works Conferences ⭐ 623

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

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

Anomaly Transformer ⭐ 471

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

Skyline ⭐ 455

Anomaly detection

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

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

Generativemodels ⭐ 445

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Cicflowmeter ⭐ 439

CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

Awesome Time Series ⭐ 429

Resources for working with time series and sequence data

Spectral ⭐ 423

Python module for hyperspectral image processing

Wdbgark ⭐ 412

WinDBG Anti-RootKit Extension

Awesome Anomaly Detection ⭐ 411

A complete list of papers on anomaly detection.

An Integrated Experimental Platform for time series data anomaly detection.

Opensnitch ⭐ 386

OpenSnitch is a GNU/Linux application firewall

Outlier Exposure ⭐ 378

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

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

Ano_pred_cvpr2018 ⭐ 362

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

Prophet Ruby ⭐ 361

Time series forecasting for Ruby

Awesome Metric Learning ⭐ 351

😎 A curated list of awesome practical Metric Learning and its applications

A robust streaming log template miner based on the Drain algorithm

Anomalize ⭐ 334

Tidy anomaly detection

Awesome Video Anomaly Detection ⭐ 330

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

2018 Machinelearning Lectures Esa ⭐ 324

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

Deeplog ⭐ 320

Pytorch Implementation of DeepLog.

Efficient Gan Anomaly Detection ⭐ 317

Padim Anomaly Detection Localization Master ⭐ 313

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

Memae Anomaly Detection ⭐ 312

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

Taganomaly ⭐ 308

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

Keras Anomaly Detection ⭐ 298

Anomaly detection implemented in Keras

Matrixprofile ⭐ 297

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

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].

Oodsurvey ⭐ 294

The Official Repository for "Generalized OOD Detection: A Survey"

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

Credit Card Fraud Detection Using Autoencoders In Keras ⭐ 289

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Adrepository Anomaly Detection Datasets ⭐ 286

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

Log Anomaly Detector ⭐ 278

Log Anomaly Detection - Machine learning to detect abnormal events logs

Deepadots ⭐ 270

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Deep Sad Pytorch ⭐ 268

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

Mtad Gat Pytorch ⭐ 265

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Anogan Tf ⭐ 265

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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]

Extended Isolation Forest for Anomaly Detection

Chronix.server ⭐ 258

The Chronix Server implementation that is based on Apache Solr.

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

Awesome Time Series ⭐ 235

A comprehensive survey on the time series domains

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

Hyperts ⭐ 225

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

An End-to-end Outlier Detection System

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

Pytorch_cpp ⭐ 215

Deep Learning sample programs using PyTorch in C++

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.

1-100 of 705 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.