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46 search results found

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

Anomaly Detection Resources ⭐ 7,616

Anomaly detection related books, papers, videos, and toolboxes

Awesome Ts Anomaly Detection ⭐ 2,320

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

Minisom ⭐ 1,339

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Fastdup ⭐ 1,313

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

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)

TODS: An Automated Time-series Outlier Detection System

ELKI Data Mining Toolkit

Chaos_genius ⭐ 671

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

Awesome Open Data Centric Ai ⭐ 630

Curated list of open source tooling for data-centric AI on unstructured data.

Adbench ⭐ 609

Official Implement of "ADBench: Anomaly Detection Benchmark".

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

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

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].

An End-to-end Outlier Detection System

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

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

Numalogic ⭐ 156

Collection of operational time series ML models and tools

TOD: GPU-accelerated Outlier Detection via Tensor Operations

An Unsupervised Graph-based Toolbox for Fraud Detection

Deep River ⭐ 79

Streamad ⭐ 63

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

Dgfraud Tf2 ⭐ 57

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

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.

A scikit-learn compatible library for anomaly detection

Secom Detecting Defected Items ⭐ 24

Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.

Cleanlab Studio ⭐ 16

Client interface for all things Cleanlab Studio

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Automated Data Preprocessing ⭐ 14

A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.

Spark Lof ⭐ 14

A parallel implementation of local outlier factor based on Spark

Picket is a system that safeguards against data corruptions during both training and deployment of machine learning models over tabular data.

Outforest ⭐ 11

Outlier detection based on random forest models

Machine Learning Prediction Projects Repository ⭐ 10

Welcome to the Machine Learning Projects Repository! This repository hosts a collection of predictive modeling projects, each focusing on different aspects of data analysis and machine learning. These projects cover a wide range of topics, including linear regression, multiple regression

Conditional Conformal Pvalues ⭐ 9

Conditional calibration of conformal p-values for outlier detection.

Repository for the Exposing Outlier Exposure paper

Simple machine learning tool in Python (>=3.7) computing an anomaly score of seismic waveform amplitudes. By using a pre-trained Isolation forest model, the program can be used for identification of outliers in semismic data, assign robustness weights, or check instruments and metadata errors

Awesome One Class Classification ⭐ 6

A curated list of awesome resources dedicated to One Class Classification.

Car Price Prediction Highly Comprehensive Linear Regression Project ⭐ 6

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Oneclassclassifier ⭐ 6

One-class classifiers for anomaly detection (outlier detection)

Wb_gdp_predict ⭐ 5

Predicting next year's GDP using ML (Python)

Machine Learning In Python ⭐ 5

Machine learning algorithms repository

Robust Gaussian Process with Iterative Trimming

Mts_outlierdetection ⭐ 5

Breast Cancer Visualization And Classification ⭐ 5

This analysis aims to observe which features are most helpful in predicting malignant or benign cancer and to see general trends that may aid us in model selection and hyper parameter selection.

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1-46 of 46 search results

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