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Discover 13 open source projects
Showing 1-13 of 13 projects
cleanlab/cleanlab
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
yzhao062/pyod
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
yzhao062/anomaly-detection-resources
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
nunchaku-ai/nunchaku
An open-source library for quantizing diffusion models to 4-bit precision, absorbing outliers through low-rank components.
rob-med/awesome-TS-anomaly-detection
A curated list of tools and datasets for anomaly detection on time-series data.
SeldonIO/alibi-detect
Detects anomalies and drift in data with algorithms for outlier, adversarial, and concept-drift detection.
visual-layer/fastdup
Accelerate data curation and augmentation with this scalable, free tool for image and video analysis.
safe-graph/graph-fraud-detection-papers
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
datamllab/tods
An automated time-series outlier detection system built with Python for anomaly detection and autoML.
JustGlowing/minisom
A minimalistic implementation of the Self Organizing Maps (SOM) algorithm for clustering and dimensionality reduction.
pygod-team/pygod
A Python library for graph-based anomaly detection and outlier detection, useful for fraud detection and security applications.
Jingkang50/OpenOOD
A Python library for benchmarking generalized out-of-distribution detection algorithms.
Minqi824/ADBench
Official implementation of the ADBench anomaly detection benchmark for machine learning models
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