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Popular repositories

  1. Package implementing methods developed in "Preventing Fairness Gerrymandering" [ICML '18], "Rich Subgroup Fairness for Machine Learning" [ FAT* '19]. active development fork @algowatchupenn

    Python

  2. Differentially Private Bandit Algorithms. Code for "Mitigating Bias in Adaptive Data Gathering" [ICML '18]. Code not intended for external development.

    Python

  3. Forked from steven7woo/Accuracy-First-Differential-Privacy

    Differentially Private Accuracy Constrained ERM [NIPS '17]

    Python

  4. A website built using Rshiny to collect preferences about individual fairness from a human subject experiment. The dataset is the ProPublica COMPAS dataset, and is available upon request.

    R

  5. Forked from omthkkr/empirical_adaptive_data_analysis

    Library containing an implementation of the Guess and Check framework.

    Python

  6. Forked from IBM/AIF360

    A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models. This is the development for…

    Python

432 contributions in the last year

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Contribution activity

February 2020

4 contributions in private repositories Feb 16 – Feb 20

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