machine-learning-explainability

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.

machine-learning data-visualization data-manipulation feature-engineering data-cleaning machine-learning-explainability

Updated Nov 27, 2020
Jupyter Notebook

DecafSunrise / Yeah-Right

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Sarcasm Classifier & ML Explainability tool

nlp classifier nlp-machine-learning lime classifier-model explainability machine-learning-explainability

Updated Apr 28, 2022
Jupyter Notebook

xmlx-io / .github

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XMLX GitHub configuration

explainable-artificial-intelligence interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability machine-learning-explainability explainable-machine-learning

Updated Nov 23, 2021

nguyentp / mlexplain

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Summarize "Interpretable Machine Learning" book.

machine-learning explanation interpretability machine-learning-explainability

Updated Oct 24, 2020
Jupyter Notebook

MauroLuzzatto / algorithmic-explanations

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This project uses algorithms from Machine Learning Explainability to generate automated text explanations – Work in Progress

machine-learning-explainability explainy

Updated Sep 9, 2021
Python

GhadaElkhawaga / ConsisXAI

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ConsisXAI is an implementation of a technique to evaluate global machine learning explainability (XAI) methods based on feature subset consistency

machine-learning explainable-ai xai machine-learning-explainability xai-evaluation

Updated Oct 17, 2022
Python

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