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azure-activedirectory-library-for-python

ADAL for Python

azure-sdk-for-python

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 versioned developer docs at https://azure.github.io/azure-sdk-for-python.

azureml-assets

azureml-examples

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

azureml-responsibleai-preview

Private Preview: Responsible AI Tooling in Azure Machine Learning

azuremlresponsibleai

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

boosting_tree_benchmarks

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

d2l-en

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

deeplearning-models

A collection of various deep learning architectures, models, and tips

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

econml

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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

fairlearn

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

fibberio

hdbscan

A high performance implementation of HDBSCAN clustering.

human-eval

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

infer

Infer.NET is a framework for running Bayesian inference in graphical models

interpret

Fit interpretable models. Explain blackbox machine learning.

interpret-community

Fit interpretable models. Explain blackbox machine learning.

interpret-text

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

lightgbm

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. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lime

Lime: Explaining the predictions of any machine learning classifier

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

machinelearningnotebooks

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

machinelearningsamples-mmlspark

MMLSpark example

ml-wrappers

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

neuronblocks

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

nimbusml

A Python package (pip-installable) with the functionality of ML.NET but with APIs that is similar to Scikit-Learn and components that integrate into Scikit-Learn pipelines.

nvm-windows

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

psi-library

R library of differentially private algorithms for exploratory data analysis