Shypd.aiThe largest open index of AI toolsanomaly-detection-resources is an open-source GitHub repository that curates books, papers, videos, and toolboxes related to anomaly detection. It includes resources on Large Language Models and Vision Language Models, serving as a comprehensive learning hub.
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anomaly-detection-resources is a comprehensive GitHub repository dedicated to collecting and organizing learning materials for anomaly detection, also known as outlier detection. This field is crucial for identifying data points that deviate significantly from the norm, with applications in fraud detection, intrusion detection, and defect detection. The repository offers a wide array of resources, including academic papers, books, online courses, videos, and open-source toolkits. It also features a collection of outlier datasets and benchmarks, with a particular focus on recent advancements in Large Language Models (LLM) and Vision Language Models (VLM) for anomaly detection. Researchers and data scientists can find tools like PyOD, PyGOD, and TODS, alongside tutorials and benchmarks for various data types including tabular, time-series, and graph data.
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