GuansongPang/SOTA-Deep-Anomaly-Detection
List of implementation of SOTA deep anomaly detection methods
This project helps researchers and practitioners identify unusual patterns or outliers in various types of data. It provides links to implementations of advanced algorithms that can detect anomalies in images, videos, time series, tabular data, and graphs. Data scientists, machine learning engineers, and researchers can use this resource to find the right deep learning method for their specific anomaly detection needs.
109 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or practitioner looking for existing implementations of deep learning models to identify anomalies in your dataset.
Not ideal if you are looking for a ready-to-use software application or a low-code tool for anomaly detection without needing to work with code.
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Dec 28, 2021
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