COLLECTED BY
Organization:
Internet Archive
Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
The Wayback Machine - https://web.archive.org/web/20220402131554/https://github.com/topics/anomalydetection
Here are
87 public repositories
matching this topic...
A curated list of awesome anomaly detection resources
Anomaly Detection and Correlation library
Updated
Dec 27, 2020
Python
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Updated
Mar 31, 2020
Python
Collection of slides, repositories, papers about AIOps
Updated
Mar 22, 2022
Java
The Chronix Server implementation that is based on Apache Solr.
Updated
Nov 18, 2019
Java
Twitter's Anomaly Detection in Pure Python
Updated
Nov 19, 2021
Python
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Updated
Apr 16, 2019
Python
Updated
Nov 15, 2018
Jupyter Notebook
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Anomaly detection tutorial on univariate time series with an auto-encoder
Updated
Mar 19, 2021
Jupyter Notebook
Anomaly detection for streaming data using autoencoders
Updated
Aug 24, 2018
Python
An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
GrammarViz 2.0 public release:
Updated
Jan 10, 2022
Java
Anomaly detection algorithm implementation in Python
Updated
Jul 2, 2020
Jupyter Notebook
A Python Package for Density Ratio Estimation
Updated
Aug 3, 2020
Python
⏰ Anomaly Detection with R (separately maintained fork of Twitter's AnomalyDetection 📦 )
Java implementation of SAX, HOT-SAX, and EMMA
Updated
Jan 10, 2022
Java
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
A thesis submitted for the degree of Master of Science in Computer Networks and Security
Updated
Sep 28, 2021
Jupyter Notebook
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
2D Outlier Analysis using Shiny
Anomaly detection method that incorporates multi-scale features to sparse coding
Updated
Jun 18, 2020
Python
anomaly detection with anomalize and Google Trends data
Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
Updated
Jul 30, 2021
Python
Detecting malicious URLs using an autoencoder neural network
Updated
Apr 2, 2022
Python
An R package for implementing augmented network log anomaly detection procedures
🐶 Anomaly detection system for Datadog multiple metrics
Updated
Nov 11, 2016
Python
Main component extraction for outlier detection
Updated
Dec 6, 2020
Jupyter Notebook
An R Package for Density Ratio Estimation
Improve this page
Add a description, image, and links to the
anomalydetection
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
anomalydetection
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.