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Backblaze B2 Genblaze Hackathon with $10K in prizes

ad_examples Open source

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Open-source data tool (MIT license, 874★). Source: GitHub (shubhomoydas/ad_examples).

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Backblaze B2 Genblaze Hackathon with $10K in prizes