Shypd.aiThe largest open index of AI toolsad_examples is an open-source AI tool that provides a collection of anomaly detection methods. It includes techniques for point-based, graph, and time series anomaly detection, along with active learning and adversarial attacks.
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ad_examples is a comprehensive, open-source collection of anomaly detection methods, encompassing iid (point-based), graph, and time series data. The repository features advanced techniques such as active learning for anomaly detection/discovery, Bayesian rule-mining, and methods for diversity, explanation, and interpretability. It also includes analysis of incorporating label feedback with ensemble and tree-based detectors, and explores adversarial attacks using Graph Convolutional Networks. The tool supports various standard unsupervised anomaly detectors like Isolation Forest, LODA, One-class SVM, and LOF, alongside forecasting-based methods for time series data. It's designed for researchers and developers working with anomaly detection, offering both theoretical insights and practical examples.
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