pycaret
pyod
pycaret | pyod | |
---|---|---|
5 | 7 | |
8,428 | 7,962 | |
1.2% | - | |
9.4 | 7.5 | |
7 days ago | 5 days ago | |
Jupyter Notebook | Python | |
MIT License | BSD 2-clause "Simplified" License |
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pycaret
- pycaret: An open-source, low-code machine learning library in Python
- Predictive Maintenance and Anomaly Detection Resources
- Pycaret
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How to look for help on data science?
Take a look at Pycaret python library. https://github.com/pycaret/pycaret
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What is your DS stack? (and roast mine :) )
If you want to try pycaret exists, not sure how similar it is to caret, but it does all the steps in ML project. And Gluon for DL.
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. Itβll give you a list of methods to read up on to understand their mechanisms. https://github.com/yzhao062/pyod
- Pyod β 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?
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.
tods - TODS: An Automated Time-series Outlier Detection System
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
ML-Workspace - π All-in-one web-based IDE specialized for machine learning and data science.
alibi-detect - Algorithms for outlier, adversarial and drift detection
imodels - Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
pymiere - Python for Premiere pro