fraud-detection-handbook
pyod
| fraud-detection-handbook | pyod | |
|---|---|---|
| 1 | 7 | |
| 433 | 7,977 | |
| 3.0% | - | |
| 0.0 | 7.5 | |
| 3 months ago | 8 days ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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fraud-detection-handbook
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?
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
tods - TODS: An Automated Time-series Outlier Detection System
uawardata - The data behind uawardata.com
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
alibi-detect - Algorithms for outlier, adversarial and drift detection
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
pycaret - An open-source, low-code machine learning library in Python
demo-fraud-detection-with-p2p - Exploring Neo4j and Graph Data Science for Fraud Detection
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