EthicalML/xai

XAI - An eXplainability toolbox for machine learning

Language: Python - Size: 17.8 MB - Last synced at: 20 days ago - Pushed at: over 3 years ago - Stars: 1,171 - Forks: 179

MauroLuzzatto/explainy

explainy is a Python library for generating machine learning model explanations for humans

Language: Python - Size: 1.92 MB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 18 - Forks: 1

medoidai/interpretable-machine-learning-blog-notebooks

Notebook examples from "A Practical Overview of Interpretable Machine Learning" blog post.

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oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

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xmlx-dev/.github

XMLX GitHub configuration

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Superar/HumorRecognitionPT

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

hmdprs/data-scientist

A Minimalist RoadMap to the Data Science World

Language: Jupyter Notebook - Size: 15 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 2

DecafSunrise/Yeah-Right

Sarcasm Classifier & ML Explainability tool

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jarred13/Predicting_Quality_of_Wine

Using data to help us choice high quality wine

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jarred13/Deeplearning_and_Diabetes

Using Deep Learning and other Machine Learning models to predict if someone has diabetes

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datarmada/minotor

Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.

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Amey-Thakur/KAGGLE

Kaggle Courses - All Exercises of the respective courses.

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GhadaElkhawaga/ConsisXAI

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

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xmlx-io/.github

XMLX GitHub configuration

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alinasahoo/technocolabs-internship-prerequisites

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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MauroLuzzatto/algorithmic-explanations

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

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nguyentp/mlexplain

Summarize "Interpretable Machine Learning" book.

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