XAI - An eXplainability toolbox for machine learning

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

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

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

A Minimalist RoadMap to the Data Science World

Kaggle Courses - All Exercises of the respective courses.

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

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.

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

Using data to help us choice high quality wine

Sarcasm Classifier & ML Explainability tool

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

Summarize "Interpretable Machine Learning" book.

XMLX GitHub configuration

XMLX GitHub configuration

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