probabilistic-programming

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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.

Bayesian inference with probabilistic programming.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

A general-purpose probabilistic programming system with programmable inference

A neurosymbolic perspective on LLMs

Probabilistic data structures for processing continuous, unbounded streams.

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

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

A simple probabilistic programming language.

Gaussian processes in JAX and Equinox.

Probabilistic programming for the web

Lightwood is Legos for Machine Learning.