Showing 1-11 of 11 projects
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
A curated list of tools and datasets for anomaly detection on time-series data.
Accelerate data curation and augmentation with this scalable, free tool for image and video analysis.
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
An automated time-series outlier detection system built with Python for anomaly detection and autoML.
A minimalistic implementation of the Self Organizing Maps (SOM) algorithm for clustering and dimensionality reduction.
A Python library for graph-based anomaly detection and outlier detection, useful for fraud detection and security applications.
A Python library for benchmarking generalized out-of-distribution detection algorithms.
Official implementation of the ADBench anomaly detection benchmark for machine learning models
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