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A probabilistic programming library powered by NumPy and JAX for Bayesian inference and MCMC sampling.
Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
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