Detailed implementations, Jupyter tutorials and complete packages to implement and test Probabilistic Bayesian Deep Learning models. The repository contains the software implementations of the techniques discussed in the review paper "Shedding light on uncertainties in machine learning: formal derivation and optimal model selection".
☆11Mar 24, 2026Updated 7 months ago
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