A3
pyod
| A3 | pyod | |
|---|---|---|
| 1 | 7 | |
| 9 | 7,962 | |
| - | - | |
| 0.0 | 7.5 | |
| almost 2 years ago | 4 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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.
A3
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[P] Looking for Resources on Anomaly Detection
As the code is available as well, you can directly test the approach and see if it is a viable solution for the telemetry data: https://github.com/Fraunhofer-AISEC/A3/
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.
What are some alternatives?
alibi-detect - Algorithms for outlier, adversarial and drift detection
tods - TODS: An Automated Time-series Outlier Detection System
awesome-TS-anomaly-detection - List of tools & datasets for anomaly detection on time-series data.
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
NAB - The Numenta Anomaly Benchmark
pycaret - An open-source, low-code machine learning library in Python
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
pymiere - Python for Premiere pro
loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python