isolation-forest
pyod
| isolation-forest | pyod | |
|---|---|---|
| 1 | 7 | |
| 219 | 7,962 | |
| 0.9% | - | |
| 3.9 | 7.5 | |
| 2 months ago | 1 day ago | |
| Scala | 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.
isolation-forest
pyod
-
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
-
Analyze defects and errors in the created images
PyOD
-
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
-
[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?
SynapseML - Simple and Distributed Machine Learning
tods - TODS: An Automated Time-series Outlier Detection System
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
alibi-detect - Algorithms for outlier, adversarial and drift detection
ScalNet - A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs
pycaret - An open-source, low-code machine learning library in Python
anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes
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