Measures what your Jev classifier's confidence is really worth, and sets the human hand-off line from what a mistake costs.
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Updated
Sep 25, 2026 - Python
Measures what your Jev classifier's confidence is really worth, and sets the human hand-off line from what a mistake costs.
khalib is a classifier calibration algorithm based on Khiops
Calibration and uncertainty quantification for ranking systems.
Study and Implementation of various neural network pruning techniques. Extending the lottery ticket hypothesis to structured pruning for accelerated training while maintaining uncertainty and accuracy. The focus is on simplifying the model's complexity without sacrificing its overall performance or leading to overfitting.
Calibration auditing for probabilistic predictions: reliability diagrams, ECE, Brier decomposition, temperature scaling. Zero dependencies.
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