A curated list of awesome anomaly detection resources
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Updated
Sep 20, 2022
A curated list of awesome anomaly detection resources
ELKI Data Mining Toolkit
Collection of slides, repositories, papers about AIOps
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Anomaly Detection and Correlation library
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Anomaly detection algorithm implementation in Python
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
从零基础开始机器学习之旅
Twitter's Anomaly Detection in Pure Python
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
A thesis submitted for the degree of Master of Science in Computer Networks and Security
Anomaly detection for streaming data using autoencoders
GrammarViz 2.0 public release:
An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
A Python Package for Density Ratio Estimation
Anomaly detection tutorial on univariate time series with an auto-encoder
The Chronix Server implementation that is based on Apache Solr.
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