hoya012/awesome-anomaly-detection
An awesome list of anomaly detection resources covering deep learning, unsupervised learning, and outlier detection methods.
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This repository is a curated list of resources for anomaly detection, including survey papers, methods, and datasets. It covers deep learning approaches such as autoencoders and one-class classification, as well as applications to time-series, image, and video data. The list is organized by topics including deep learning methods, probabilistic models, and domain-specific applications like video surveillance and medical diagnostics.
Frequently asked
- What is hoya012/awesome-anomaly-detection?
- An awesome list of anomaly detection resources covering deep learning, unsupervised learning, and outlier detection methods.
- Is awesome-anomaly-detection open source?
- Yes — hoya012/awesome-anomaly-detection is an open-source project tracked on heatdrop.
- How popular is awesome-anomaly-detection?
- hoya012/awesome-anomaly-detection has 2.9k stars on GitHub.
- Where can I find awesome-anomaly-detection?
- hoya012/awesome-anomaly-detection is on GitHub at https://github.com/hoya012/awesome-anomaly-detection.