pyod
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| pyod | luminaire | |
|---|---|---|
| 7 | 28 | |
| 7,941 | 753 | |
| - | 1.7% | |
| 7.7 | 0.0 | |
| 7 days ago | 3 months ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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.
pyod
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A Comprehensive Guide for Building Rag-Based LLM Applications
This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
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Analyze defects and errors in the created images
PyOD
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Multivariate Outlier Detection in Python
Check out the algorithms and documentation in this toolkit. It’ll give you a list of methods to read up on to understand their mechanisms. https://github.com/yzhao062/pyod
- Pyod – A Comprehensive and Scalable Python Library for Outlier Detection
- Predictive Maintenance and Anomaly Detection Resources
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[D] Unsupervised Outlier Detection - Advise Requested
The source code and documentaion of PyOD is the best survey about OOD. Besides, the normalized flow and VQVAE are also feasible.
- PyOD: ~50 anomaly detection algorithms in one framework.
luminaire
What are some alternatives?
tods - TODS: An Automated Time-series Outlier Detection System
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
luminol - Anomaly Detection and Correlation library
alibi-detect - Algorithms for outlier, adversarial and drift detection
darts - A python library for user-friendly forecasting and anomaly detection on time series.
pycaret - An open-source, low-code machine learning library in Python
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
OpenOOD - Benchmarking Generalized Out-of-Distribution Detection