Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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Updated
May 28, 2024 - Python
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
The base NIMBLE package for R
Website: Data Umbrella & PyMC open source sessions
Bayesian inference with probabilistic programming.
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Documentation and tutorials for the Turing language
Probabilistic Programming and Nested sampling in JAX
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Replication package for paper submission with the same name.
Gaussian processes in JAX.
Preheat your MCMC
This repository holds slides and code for a full Bayesian statistics graduate course.
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
Probabilistic reasoning and statistical analysis in TensorFlow
Introduction to Probabilistic Programming
Monadic effects and equational reasonig in Coq
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
ProbZelus is a library to extends the synchronous programming language Zelus with probabilistic programming.
Lab assignment for ECE314, the lab for ECE313 Probability
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