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Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.
A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization.
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
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