Bayesian inference with probabilistic programming.
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Updated
Jul 2, 2024 - Julia
Bayesian inference with probabilistic programming.
Preheat your MCMC
A general-purpose probabilistic programming system with programmable inference
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
High-performance reactive message-passing based Bayesian inference engine
Monadic effects and equational reasonig in Coq
Bayesian Modeling and Probabilistic Programming in Python
Gaussian processes in JAX.
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Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability
This repository holds slides and code for a full Bayesian statistics graduate course.
Pyro code for reproducing examples from John Winns MBML book.
Documentation and tutorials for the Turing language
Introduction to Probabilistic Programming
Deep universal probabilistic programming with Python and PyTorch
Pyro code for reproducing some of the examples from the Data Analysis book by D. S. Sivia.
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
Probabilistic reasoning and statistical analysis in TensorFlow
Automatic probabilistic programming for scientific machine learning and dynamical models
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
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