Showing 4 of 4 projects
An introduction to Bayesian inference and probabilistic programming using Python and PyMC, with a computational-first approach.
A library for probabilistic reasoning and statistical analysis integrated with TensorFlow and JAX.
A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.
A JAX-based probabilistic programming framework using nested sampling for fast Bayesian inference and evidence computation.
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