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A Python library for probabilistic prediction using natural gradient boosting, built on scikit-learn.
Lightweight Python library for evaluating classification model robustness across out-of-distribution generalization, stability, and uncertainty metrics.
A Python package for training PyTorch neural networks using variational inference for Bayesian deep learning.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
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