Popular GitHub Repositories for Probabilistic Programming

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Probabilistic language based on pattern matching and constraint propagation, 153 examples

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Probabilistic reasoning and statistical analysis in TensorFlow

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

A general-purpose probabilistic programming system with programmable inference

High-quality implementations of standard and SOTA methods on a variety of tasks.

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

A simple probabilistic programming language.

Gaussian processes in JAX.

Lightwood is Legos for Machine Learning.

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

Functional tensors for probabilistic programming

Probabilistic Programming and Nested sampling in JAX

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy