tods
TODS: An Automated Time-series Outlier Detection System (by datamllab)
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes (by yzhao062)
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| tods | anomaly-detection-resources | |
|---|---|---|
| 3 | 98 | |
| 1,292 | 7,871 | |
| 3.4% | - | |
| 3.1 | 4.6 | |
| 8 months ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tods
Posts with mentions or reviews of tods.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-27.
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Anomaly detection Algorithms
Sounds that OP is looking for time series anomaly detection, not multivariate. Perhaps https://github.com/datamllab/tods is an option,
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Unsupervised Anomaly Detection with Multivariate Time series
I suggest you try some AutoML library for anomaly detection, e.g.: https://github.com/datamllab/tods
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[P] [R] Luminaire: A hands-off Anomaly Detection Library
TODS
anomaly-detection-resources
Posts with mentions or reviews of anomaly-detection-resources.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-20.
- anomaly-detection-resources: NEW Extended Research - star count:7507.0
- anomaly-detection-resources: NEW Extended Research - star count:7323.0
- anomaly-detection-resources: NEW Extended Research - star count:7109.0
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Time-based splitting performing significantly worse than random splitting
https://github.com/yzhao062/anomaly-detection-resources https://search.brave.com/search?q=imbalanced+dataset+machine+learning+github&source=desktop
What are some alternatives?
When comparing tods and anomaly-detection-resources you can also consider the following projects:
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.