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@UMich-FATML

UMich FATML

Fairness, Accountability, and Transparency in Machine Learning @ UMich

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  1. w2s-refinement w2s-refinement Public

    code for "A transfer learning framework for weak to strong generalization" by Somerstep et al.

    Jupyter Notebook

  2. prompt-regression prompt-regression Public

    code for "Prompt Exploration with Prompt Regression" by Feffer et al

    Jupyter Notebook

  3. llm-routing llm-routing Public

    code for "Large Language Model Routing with Benchmark Datasets" by Shnitzer et al.

    Python

  4. BuDRO BuDRO Public

    code for "Individually Fair Gradient Boosting" by Vargo et al

    Jupyter Notebook

  5. SenSTIR SenSTIR Public

    code for "Individually Fair Rankings" by Bower et al

    Jupyter Notebook

  6. SenSeI SenSeI Public

    code for "SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness" by Yurochkin and Sun

    Python

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