Showing 1-9 of 9 projects
A powerful Bayesian modeling and probabilistic programming library for Python developers.
An open-source C++ library for Bayesian inference and data analysis using Markov Chain Monte Carlo (MCMC) methods.
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.
An ensemble sampling toolkit for affine-invariant Markov Chain Monte Carlo (MCMC) in Python.
A GitHub repository for Owl, a OCaml Scientific Computing framework
RStan is an R interface to the Stan probabilistic programming language, used for Bayesian data analysis and inference.
Provides Bayesian data analysis demos in Python for developers interested in probabilistic modeling.
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