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Author:
R. Teal Witter and Lucas Rosenblatt
Summary:
Heteroscedastic uncertainty estimates for fair algorithms.
Latest version:
0.0.4
Required dependencies:
aif360
|
fairlearn
|
folktables
|
matplotlib
|
numpy
|
pandas
|
requests
|
scikit-learn
|
scipy
|
tab-transformer-pytorch
|
tabulate
|
torch
|
tqdm
|
ucimlrepo
|
xgboost
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