290 Open source projects that are alternatives of or similar to Stan

rstanarm R package for Bayesian applied regression modeling

shinystan R package and ShinyStan GUI

A collection of Bayesian data analysis recipes using PyMC3

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

RStan, the R interface to Stan

Bayesian Data Analysis demos for R

A common framework for implementing and using log densities for inference.

Statistical Rethinking with PyTorch and Pyro

Bayesian Data Analysis demos for Python

Bayesian spatial analysis

How to do Bayesian statistical modelling using numpy and PyMC3

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

C++ template library for probabilistic programming

Stanマニュアルの日本語への翻訳プロジェクト

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

High-performance Bayesian Data Analysis on the GPU in Clojure

Examples for Bayesian inference using DynamicHMC.jl and related packages.

A Python package for building Bayesian models with TensorFlow or PyTorch

A high-level Bayesian analysis API written in Python

Projection predictive variable selection

Statistical Rethinking course in pymc3

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Tutorial on model assessment, model selection and inference after model selection

The Trendiness of Trends

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

GPstuff - Gaussian process models for Bayesian analysis

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

Noisy network measurement with stan

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

Full Bayesian Inference for Hidden Markov Models

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

bayesplot R package for plotting Bayesian models

Multi-core BUGS for fast Bayesian inference of large hierarchical models

CmdStanR: the R interface to CmdStan

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

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Expressions and dataframes with statistical details 📉 📜🔣✅

The base NIMBLE package for R

A python module to detect stellar flares using Bayesian model comparison

PyMC3 educational resources

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Bayesian analysis + tidy data + geoms (R package)

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Code for modelling estimated deaths and cases for COVID19.

Matlab interface to Stan, a package for Bayesian inference

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Bayesian Generalized Linear Models with Time-Varying Coefficients

Material for a Bayesian statistics workshop

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code