romanlutz Goto Github PK
Name: Roman Lutz
Type: User
Company: Microsoft
Bio: Responsible AI Engineer - passionate about Open Source
Location: Washington, USA
Name: Roman Lutz
Type: User
Company: Microsoft
Bio: Responsible AI Engineer - passionate about Open Source
Location: Washington, USA
Adaptive Large Neighborhood Search - will be there soon!
Autoscaling components for Kubernetes
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Azure Quickstart Templates
Docker containers for running training scripts on AzureML
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Carbon-Aware SDK
Code for the paper https://arxiv.org/abs/2003.00827
A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.
Proposal Documents for Fairlearn
Instructions for PyCon sprints May 2021
Talks / presentations / tutorials about Fairlearn and fairness in ML
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.
Stats for GitHub repos represented through shields
Track stats for your repo over time!
A scalable simulator for evaluating the performance of in-network caches in Information Centric Networking (ICN)
Q&A dataset for many-shot jailbreaking
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 - Distributed Virtual Actor Model
Connecting contributors and maintainers and helping all onboard better.
Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
Bootstrap-based sphinx theme from the PyData community
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.
A Repository for the public preview of Responsible AI in AML vNext
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.
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.
Roman Lutz's website
scikit-learn: machine learning in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.