# hendrycks/outlier-exposure

<https://repo.masters-masters.com/en/repos/hendrycks/outlier-exposure>

[Home](https://repo.masters-masters.com/en) › [hendrycks](https://repo.masters-masters.com/en/owners/hendrycks) › [outlier-exposure](https://repo.masters-masters.com/en/repos/hendrycks/outlier-exposure)

hendrycks/outlier-exposure has 573 stars on GitHub. Its RepoMasters card: Alpha tier. Deep Anomaly Detection with Outlier Exposure (ICLR 2019) Language: Python.

| Field | Value |
| --- | --- |
| Owner | [hendrycks](https://repo.masters-masters.com/en/owners/hendrycks) |
| Stars | 573 |
| Forks | 106 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | anomaly, anomaly-detection, calibration, deep-learning, pytorch, out-of-distribution-detection, ml-safety |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hendrycks/outlier-exposure](https://github.com/hendrycks/outlier-exposure) |

## Repository

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
