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1. interpretable-dp/riskcal interpretable-dp/riskcal Public

   Measure and calibrate operational privacy risks for differentially private algorithms.

   Python 12 1

2. interpretable-dp/risksyn interpretable-dp/risksyn Public

   Synthetic data generation with interpretable privacy guarantees.

   Python 3

3. interpretable-dp/gdpnum interpretable-dp/gdpnum Public

   Numeric computation of the privacy parameter in Gaussian Differential Privacy

   Jupyter Notebook 3

4. transplantbenefit transplantbenefit Public

   UK Liver Transplant Scoring Model in Python

   Python

5. saliency_bias saliency_bias Public

   Twitter algorithmic bias challenge winning submission

   Jupyter Notebook 50 4

6. ustunb/reachml ustunb/reachml Public

   Python 5