The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Updated
May 26, 2024 - Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Anomaly detection related books, papers, videos, and toolboxes
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.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
TODS: An Automated Time-series Outlier Detection System
A Python Library for Graph Outlier Detection (Anomaly Detection)
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Benchmarking Generalized Out-of-Distribution Detection
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
ML powered analytics engine for outlier detection and root cause analysis.
A Deep Graph-based Toolbox for Fraud Detection
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Deep learning-based outlier/anomaly detection
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
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Open-source framework to detect outliers in Elasticsearch events
(WWW'21) ATON - an Outlier Interpreation / Outlier explanation method
TOD: GPU-accelerated Outlier Detection via Tensor Operations
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