High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
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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.
- ai
- fairness-ai
- fairness
- fairness-testing
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
A little logger for machine learning research