122 Open source projects that are alternatives of or similar to Stan.jl

library of C++ functions that support applications of Stan in Pharmacometrics

shinystan R package and ShinyStan GUI

RStan, the R interface to Stan

Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States

Bayesian Data Analysis demos for R

Bayesian Generalized Linear Models with Time-Varying Coefficients

bayesplot R package for plotting Bayesian models

Bayesian Data Analysis demos for Python

CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable.

CmdStanR: the R interface to CmdStan

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

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Code for modelling estimated deaths and cases for COVID19.

Bayesian methods in deep learning Summer School

Bayesian Evolutionary Analysis Sampling Trees

STUN & TURN client demo and api with python and C

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

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

MCMC sample analysis, kernel densities, plotting, and GUI

A novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Processes

Boltzmann Machines in TensorFlow with examples

A repository to keep track of all the code that I end up writing for my blog posts.

GPstuff - Gaussian process models for Bayesian analysis

The posterior R package

Bitmap generation from a single example with convolutions and MCMC

The base NIMBLE package for R

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

AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

Types and utility functions for summarizing Markov chain Monte Carlo simulations

PyStan, the Python interface to Stan

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

Make a sweet giant triangle confusogram (GTC) plot

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.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

A Bayesian Analysis Toolkit in Julia

Inference case studies in knitr

Bayesian inference with probabilistic programming.

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

Projection predictive variable selection

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

Bayesian analysis + tidy data + geoms (R package)

Use MCMC to analyze districting plans and gerrymanders

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

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

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

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

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

The Python ensemble sampling toolkit for affine-invariant MCMC

rstanarm R package for Bayesian applied regression modeling

Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology

Matlab interface to Stan, a package for Bayesian inference

Automatic Reparameterisation of Probabilistic Programs

Implementing MCMC sampling from scratch in R for various Bayesian models

Turing version of StatisticalRethinking models.

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

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

Bayesian Evolutionary Analysis by Sampling Trees