OpenOOD
pyod
OpenOOD | pyod | |
---|---|---|
2 | 7 | |
755 | 7,977 | |
- | - | |
7.5 | 7.5 | |
23 days ago | 8 days ago | |
Python | Python | |
MIT License | BSD 2-clause "Simplified" License |
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OpenOOD
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[Online Leaderboard | Easy Evaluation] OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Open-sourced implementations of 40+ advanced methods (see our repo);
- Large OOD Detection Library with Multiple Papers Implemented
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?
tods - TODS: An Automated Time-series Outlier Detection System
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
DGFraud - A Deep Graph-based Toolbox for Fraud Detection
alibi-detect - Algorithms for outlier, adversarial and drift detection
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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