pymc-devs / pymc

Bayesian Modeling and Probabilistic Programming in Python

pyro-ppl / pyro

Deep universal probabilistic programming with Python and PyTorch

pyro-ppl / numpyro

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

bambinos / bambi

BAyesian Model-Building Interface (Bambi) in Python.

blackjax-devs / blackjax

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

sbi-dev / sbi

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

QuantClimate / GPJax

Gaussian processes in JAX and Equinox.

pymc-devs / pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

aleximmer / Laplace

Laplace approximations for Deep Learning.

nchopin / particles

Sequential Monte Carlo in python