pymc-devs / pymc

Bayesian Modeling and Probabilistic Programming in Python

pyro-ppl / pyro

Deep universal probabilistic programming with Python and PyTorch

stan-dev / stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

pyro-ppl / numpyro

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

avehtari / BDA_course_Aalto

Bayesian Data Analysis course at Aalto

TuringLang / Turing.jl

Bayesian inference with probabilistic programming.

paul-buerkner / brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

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.

stan-dev / rstan

RStan, the R interface to Stan

FRBNY-DSGE / DSGE.jl

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

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.

erdogant / bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

aleximmer / Laplace

Laplace approximations for Deep Learning.

nchopin / particles

Sequential Monte Carlo in python