Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

A unified wrapper for various ML frameworks - to have one uniform scikit-learn format predict and predict_proba functions.

Fit interpretable models. Explain blackbox machine learning.

Fluent UI web represents a collection of utilities, React components, and web components for building web applications.

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our ve…

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

A unified approach to explain the output of any machine learning model

Methods for creating saliency maps for computer vision models.

Microsoft Machine Learning for Apache Spark

A repository to hold information about the preview of Azure Machine Learning's Responsible AI and model evaluations tools

A node.js version management utility for Windows. Ironically written in Go.

Code for the paper "Evaluating Large Language Models Trained on Code"

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Private Preview: Responsible AI Tooling in Azure Machine Learning

Mirror of Apache Spark

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks…

Fit interpretable models. Explain blackbox machine learning.

A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.

Deep Learning for Seismic Imaging and Interpretation

Use the example notebooks in this repo to explore the Azure Machine Learning service.

Repository migrated from https://bitbucket.org/astanin/python-tabulate

R library of differentially private algorithms for exploratory data analysis

R interface for Apache Spark

Lime: Explaining the predictions of any machine learning classifier

Generate Diverse Counterfactual Explanations for any machine learning model.