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  1. A Python package to assess and improve fairness of machine learning models.

    Python 870 205

  2. 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.

    38 6

  3. 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.

    OpenEdge ABL 28 9

  4. 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…

    Python 13 2

  5. Roman Lutz's website

    HTML 1

827 contributions in the last year

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Contribution activity

May 2021

Created 2 repositories

Created a pull request in fairlearn/fairlearn that received 6 comments

Remove bokeh plot and replace with simple matplotlib plot

Our doc builds are taking a while, so it seemed like a good idea to replace the custom bokeh plot with a simpler matplotlib plot just like in #766

+27 −37 6 comments

Created an issue in fairlearn/fairlearn that received 13 comments

Use icons for Twitter, StackOverflow, and Gitter

Our current website has the following in the top right corner: Pydata-sphinx-theme just added an update that allows us to customize icons: https:/…

13 comments
Started 1 discussion in 1 repository

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