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32 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)

Darts ⭐ 6,903

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

Stumpy ⭐ 2,901

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

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

Graph Fraud Detection Papers ⭐ 1,148

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

A machine learning library for detecting anomalies in signals.

Datastream.io ⭐ 761

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

ELKI Data Mining Toolkit

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

Matrixprofile ⭐ 297

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

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]

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

An Unsupervised Graph-based Toolbox for Fraud Detection

Quick and Easy Time Series Outlier Detection

Anomalydetecttool ⭐ 83

A tool of detecting anomaly points from data

Practicalmachinelearning ⭐ 79

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

Dgfraud Tf2 ⭐ 57

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

Desbordante ⭐ 54

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

A scikit-learn compatible library for anomaly detection

Python package for time series analysis and machine learning

Anomaly_detection ⭐ 25

anomaly detection with anomalize and Google Trends data

Autobrewml ⭐ 24

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

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.

Holt Winters ⭐ 19

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

Ml Based Anomaly Detection ⭐ 18

Spectral Residual

Machine Learning ⭐ 17

A set of jupyter notebooks

A Python library for anomaly detection

Time_series_anomaly_detection_examples ⭐ 13

Several examples of anomaly detection algorithms for time series data.

Network Intrusion Detection System ⭐ 12

En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.

Talks Keynotes Slides ⭐ 9

My invited Keynote/Talk at Conferences, Universities, Companies, etc.

Anomaly Detection Pipeline Kedro ⭐ 8

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

Autoembedder ⭐ 7

PyTorch autoencoder with additional embeddings layer for categorical data 🚘

Anomalydetectioncpp ⭐ 7

Simple anomaly detection for univariate time series data.

Iot Device Phone Simulator ⭐ 6

A web application which acts as an IoT device when loaded in a smart phone browser. The data from the sensors are then used for Anomaly detection.

Sugar candy for data scientist. Easy manipulation in time-series data analytics works.

Anomaly Detection ⭐ 5

Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection

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