tods
Merlion
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| tods | Merlion | |
|---|---|---|
| 3 | 5 | |
| 1,292 | 3,260 | |
| 3.4% | 1.5% | |
| 3.1 | 2.6 | |
| 8 months ago | 9 days ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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
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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
Merlion
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[podcast] Machine Learning for Time Series Intelligence
Aadyot Bhatnagar, is a Senior Research Engineer at Salesforce, and co-creator of Merlion an open source framework for applying machine learning on time series data.
- Merlion – A new time-series ML framework from Salesforce
- Salesforce research team introduces Merlion, an open-source Python library for time series intelligence
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[N] Salesforce Research Introduces ‘Merlion’, An Open-Source Machine Learning Library For Time Series Intelligence
5 Min Read | Paper | Code
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
anomstack - Anomstack - Painless open source anomaly detection for your metrics 📈📉🚀
OpenOOD - Benchmarking Generalized Out-of-Distribution Detection
cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes
airflow-provider-anomaly-detection - An airflow provider for anomaly detection.
PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.
paragon - A lightweight command line benchmarking utility
timebasedcv - Time based splits for cross validation