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A Library for Uncertainty Quantification.
A hyperparameter-free gradient boosting machine with a simple budget parameter, built for high performance with Rust and bindings for Python and R.
A scalable Python tool for multicalibration that ensures ML model predictions are well-calibrated across all data segments, not just globally.
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