Pinned Repositories
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.
fairlearn
A Python package to assess and improve fairness of machine learning models.
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.
fairlearn
A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.
fairlearn-pycon-sprint
Instructions for PyCon sprints May 2021
fairlearn-scipy-sprint
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.
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.
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
romanlutz's Repositories
romanlutz/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.
romanlutz/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.
romanlutz/ALNS
Adaptive Large Neighborhood Search - will be there soon!
romanlutz/orleans
Orleans - Distributed Virtual Actor Model