301 Open source projects that are alternatives of or similar to Probabilistic Models

GPstuff - Gaussian process models for Bayesian analysis

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

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

Bayesian Data Analysis demos for R

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

shinystan R package and ShinyStan GUI

CmdStanR: the R interface to CmdStan

High-performance Bayesian Data Analysis on the GPU in Clojure

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

Full Bayesian Inference for Hidden Markov Models

Bayesian Data Analysis demos for Python

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

Deep universal probabilistic programming with Python and PyTorch

Regression with Summary Statistics.

A Latent Dirichlet Allocation implementation in Python.

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

A collection of Methods and Models for various architectures of Artificial Neural Networks

Bayesian Evolutionary Analysis by Sampling Trees

Natural Gradient, Variational Inference

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Efficient, lightweight variational inference and approximation bounds

DGMs for NLP. A roadmap.

rstanarm R package for Bayesian applied regression modeling

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Automatic Reparameterisation of Probabilistic Programs

A collection of Bayesian data analysis recipes using PyMC3

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.

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Nested Sampling post-processing and plotting

Material for a workshop on Bayesian stats with R

BAS R package https://merliseclyde.github.io/BAS/

Bayesian Generalized Linear Models with Time-Varying Coefficients

Scalable inference for a generative model of astronomical images

Fast & scalable MCMC for all your exoplanet needs!

Boltzmann Machines in TensorFlow with examples

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

Implementing MCMC sampling from scratch in R for various Bayesian models

bayesplot R package for plotting Bayesian models

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

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

A high-level Bayesian analysis API written in Python

Latent Dirichlet Allocation

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

RStan, the R interface to Stan

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

The posterior R package

Projection predictive variable selection

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

The base NIMBLE package for R

Bayesian inference with probabilistic programming.

Seminars DeepBayes Summer School 2018

A Bayesian Analysis Toolkit in Julia

Distributed Bayesian Entity Resolution in Apache Spark

A web interface for exploring PyMC3 traces

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

How to do Bayesian statistical modelling using numpy and PyMC3

C++ template library for probabilistic programming

Modular Probabilistic Programming on MXNet

ELFI - Engine for Likelihood-Free Inference