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alns

Adaptive Large Neighborhood Search - will be there soon!

autoscaler

Autoscaling components for Kubernetes

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

azure-quickstart-templates

Azure Quickstart Templates

azureml-containers

Docker containers for running training scripts on AzureML

azureml-examples

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

carbon-aware-sdk

Carbon-Aware SDK

chexclusion

Code for the paper https://arxiv.org/abs/2003.00827

fairlearn

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

fairlearn-proposals

Proposal Documents for Fairlearn

fairlearn-pycon-sprint

Instructions for PyCon sprints May 2021

fairlearn-scipy-sprint

fairlearn-stats

fairlearn-talks

Talks / presentations / tutorials about Fairlearn and fairness in ML

fantasy-football-prediction

Accurate predictions of Fantasy Football scores can make a difference in a Fantasy Football league. The provided files were used to create a dataset and evaluate Machine Learning techniques, namely Support Vector Regression and Neural Networks, on 2014 NFL game data.

github-repo-shields

Stats for GitHub repos represented through shields

github-repo-stats

Track stats for your repo over time!

icarus

A scalable simulator for evaluating the performance of in-network caches in Information Centric Networking (ICN)

nflplayprediction

Based on NFL game data, we want to predict the success of a play. This can be used to insert different strategies before the play is called to determine the success probability.

orleans

Orleans - Distributed Virtual Actor Model

oss-port

Connecting contributors and maintainers and helping all onboard better.

pmf-automl

Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.

pydata-sphinx-theme

Bootstrap-based sphinx theme from the PyData community

pyrit

The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.

rai-vnext-preview

A Repository for the public preview of Responsible AI in AML vNext

responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

responsibleai

A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.

romanlutz.github.io

Roman Lutz's website

scikit-learn

scikit-learn: machine learning in Python

scikit-learn.github.io

Scikit-learn website hosted by github