machine-learning-explainability

oracle-samples/automlx

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

datarmada/minotor

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

MauroLuzzatto/explainy

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

Amey-Thakur/KAGGLE

Kaggle Courses - All Exercises of the respective courses.

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.

medoidai/interpretable-machine-learning-blog-notebooks

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

GhadaElkhawaga/ConsisXAI

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

agents-debate/app

Análise de Intervenção em Ansiedade com Visualizações Estáticas e Insights

DecafSunrise/Yeah-Right

Sarcasm Classifier & ML Explainability tool

jarred13/Predicting_Quality_of_Wine

Using data to help us choice high quality wine

Superar/HumorRecognitionPT

jarred13/Deeplearning_and_Diabetes

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

MauroLuzzatto/algorithmic-explanations

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

nguyentp/mlexplain

Summarize "Interpretable Machine Learning" book.

xmlx-dev/.github

XMLX GitHub configuration

xmlx-io/.github

XMLX GitHub configuration