machine-learning-explainability
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XAI - An eXplainability toolbox for machine learning
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Oct 30, 2021 - Python
This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.
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Jun 25, 2025
Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.
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Mar 3, 2023 - JavaScript
explainy is a Python library for generating machine learning model explanations for humans
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Apr 27, 2025 - Python
Kaggle Courses - All Exercises of the respective courses.
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Mar 13, 2024 - Jupyter Notebook
Notebook examples from "A Practical Overview of Interpretable Machine Learning" blog post.
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Jul 8, 2022 - Jupyter Notebook
This repository contains all the pre-requisite notebooks for my internship as a Machine Learning Developer at Technocolabs. It includes some of the micro-courses from kaggle.
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Nov 27, 2020 - Jupyter Notebook
ConsisXAI is an implementation of a technique to evaluate global machine learning explainability (XAI) methods based on feature subset consistency
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May 14, 2023 - Python
Análise de Intervenção em Ansiedade com Visualizações Estáticas e Insights
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Feb 27, 2025 - Jupyter Notebook
Sarcasm Classifier & ML Explainability tool
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Apr 28, 2022 - Jupyter Notebook
Using data to help us choice high quality wine
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Feb 18, 2023 - Jupyter Notebook
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Jun 9, 2024 - Jupyter Notebook
Using Deep Learning and other Machine Learning models to predict if someone has diabetes
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Feb 4, 2023 - Jupyter Notebook
This project uses algorithms from Machine Learning Explainability to generate automated text explanations – Work in Progress
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Sep 9, 2021 - Python
Summarize "Interpretable Machine Learning" book.
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Oct 24, 2020 - Jupyter Notebook
XMLX GitHub configuration
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Jul 26, 2024
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