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https://github.com/hendrycks/outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
https://github.com/hendrycks/outlier-exposure

anomaly anomaly-detection calibration deep-learning ml-safety out-of-distribution-detection pytorch

Last synced: 6 days ago
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Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Host: GitHub
URL: https://github.com/hendrycks/outlier-exposure
Owner: hendrycks
License: apache-2.0
Created: 2018-05-22T22:22:24.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2021-10-09T01:31:17.000Z (over 3 years ago)
Last Synced: 2025-01-19T09:04:54.473Z (13 days ago)
Topics: anomaly, anomaly-detection, calibration, deep-learning, ml-safety, out-of-distribution-detection, pytorch
Language: Python
Homepage:
Size: 360 MB
Stars: 551
Watchers: 19
Forks: 109
Open Issues: 5
Metadata Files:
- Readme: README.md
- License: LICENSE

awesome-production-machine-learning - Deep Anomaly Detection with Outlier Exposure - exposure.svg?style=social) - Outlier Exposure (OE) is a method for improving anomaly detection performance in deep learning models. [Paper](https://arxiv.org/pdf/1812.04606.pdf) (Industry-strength AD)