# KDD-OpenSource/DeepADoTS

<https://repo.masters-masters.com/en/repos/KDD-OpenSource/DeepADoTS>

[Home](https://repo.masters-masters.com/en) › [KDD-OpenSource](https://repo.masters-masters.com/en/owners/KDD-OpenSource) › [DeepADoTS](https://repo.masters-masters.com/en/repos/KDD-OpenSource/DeepADoTS)

KDD-OpenSource/DeepADoTS has 601 stars on GitHub. Its RepoMasters card: Alpha tier. Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection…

| Field | Value |
| --- | --- |
| Owner | [KDD-OpenSource](https://repo.masters-masters.com/en/owners/KDD-OpenSource) |
| Stars | 601 |
| Forks | 116 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | anomaly-detection, time-series, timeseries, deep-learning, tensorflow, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [KDD-OpenSource/DeepADoTS](https://github.com/KDD-OpenSource/DeepADoTS) |

## Repository

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

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.