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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.

Jasp Desktop ⭐ 709

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

Bayesopt ⭐ 349

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)

SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.

Python implementation of Bayesian Knowledge Tracing and extensions

Cornell Moe ⭐ 165

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

Hypermapper ⭐ 142

Black-box Optimizer based on Bayesian Optimization

Elo Mmr ⭐ 139

Skill estimation systems for multiplayer competitions

Cmdstanr ⭐ 126

CmdStanR: the R interface to CmdStan

Learning-aided 3D mapping

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

Orocos Bayesian Filtering ⭐ 100

The orocos Bayesian Filtering Library

Bayestracking ⭐ 97

C++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)

Bayesian state-space modelling on high-performance hardware, including multicore, GPUs and distributed clusters.

Revbayes.archive ⭐ 70

Bayesian Adaptive Superpixel Segmentation (ICCV 2019)

Bkisemanticmapping ⭐ 61

Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping

Bayesian Macroeconometrics in R

Bayes Filters Lib ⭐ 59

A flexible, modern, C++ recursive Bayesian estimation library.

Bayesian analysis toolkit http://mpp.mpg.de/bat

Discrete Bayesian Additive Regression Trees Sampler

Bayesian MCMC matrix factorization algorithm

Depth-Based Bayesian Object Tracking Library

Revbayes ⭐ 47

Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language

Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.

Bali Phy ⭐ 42

Bayesian co-estimation of phylogenies and multiple alignments via MCMC

Terastructure ⭐ 42

TeraStructure is a new algorithm to fit Bayesian models of genetic variation in human populations on tera-sample-sized data sets (10^12 observed genotypes, i.e., 1M individuals at 1M SNPs). This package provides a scalable, multi-threaded C++ implementation that can be run on a single computer.

Traversability_mapping ⭐ 39

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping

Dp_means ⭐ 38

Dirichlet Process K-means

Sequential Line Search ⭐ 37

A Preferential Bayesian optimization library for C++/Python [SIGGRAPH 2017]

Bayesian Factorization with Side Information in C++ with Python wrapper

Bayesian Inference of State Space Models

Carma_pack ⭐ 36

MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.

finite-state toolkit, EM and Bayesian (Gibbs sampling) training for FST and context-free derivation forests

Httpstan ⭐ 35

HTTP interface to Stan, a package for Bayesian inference.

Bayesian Causal Forests

Stan4bart ⭐ 32

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

A C++ library for Bayesian modeling, mainly through Markov chain Monte Carlo, but with a few other methods supported. BOOM = "Bayesian Object Oriented Modeling". It is also the sound your computer makes when it crashes.

Bayesiannetwork ⭐ 30

An implementation of Bayesian Networks Model for pure C++14 (11) later, including probability inference and structure learning method.

Functions for phylogenetic analyses

Covidestim ⭐ 25

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

Bayesdfa ⭐ 25

Bayesian DFA with Stan

R and python implementations of Accelerated Bayesian Causal Forest.

A Gaussian-Mixtures Probability Hypothesis Density (GM-PHD) filter for multitarget tracking in a bayesian framework

Package to detect eQTLs jointly in multiple subgroups (e.g. tissues) via Bayesian Model Averaging.

Genvector ⭐ 18

Multi-modal Bayesian embedding model

Bayesian ⭐ 18

Machine Learning : Naive Bayes classifier and Bayesian network classifier C++ implementation

A tool to combine indirect and direct searches for new physics

Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1506.02371

Bayesian Cognitive Modelling

A Bayesian group factor model with structured sparsity

Essential R ⭐ 14

📘 Essential tools and libraries for programming in R

Bayesreg ⭐ 14

R package to perform Bayesian regularization using Stan.

A modular, efficient and portable tool for running parallel approximate Bayesian computation algorithms.

Exoplanet detection in RVs with DNest4 and GPs

Fba Pomdp ⭐ 12

Factored model-based Bayesian Reinforcement Learning framework

Dpmmlowvar ⭐ 12

Bayesian nonparametric small-variance asymptotic clustering algorithms

Base package for datamicroscopes, a non-parametric bayesian inference library

Libspatialseir ⭐ 12

A C++ and OpenCL framework for fast Bayesian spatio-temporal compartmental epidemic modeling.

C++ code and Python wrappers for Inference on Bayesian Non-Parametric Models

Embeddedai ⭐ 11

Joint_bayesian ⭐ 11

The joint bayesian implemention by C++

Probabilisticgraphicalmodels ⭐ 11

General Purpose C++ Implementation for Inference and Learning in Bayesian and Markov Networks

Car Lasso ⭐ 11

Conditional Auto-Regressive LASSO in R

Meshed GP for Bayesian spatial big data regression

Fast Bayesian Hidden Markov Model with Wavelet Compression

HPYLMのC++実装

mLDM: a new hierarchical Bayesian statistical model for sparse microbial association discovery

Bayesian_matting ⭐ 9

Toolkit for Bayesian scaling analysis

🎶 A collection of études on probabilistic models.

code for the ICML2018 paper "Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design"

Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)

Approximate Bayesian Inference Toolkit (Python, C++)

Scalable Variational Bayesian Factorization Machine ⭐ 8

Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.

Time varying vector autoregressive state space modeling of community interactions in a Bayesian framework

Dynamic Models for Survival Data

Bayesian Meta-Analysis via 'Stan'

R package wrapper for the Bayesian SSUR repository

Hadoopbnem ⭐ 7

Bayesian Network (BN) parameter learning using Expectation Maximization (EM) on Hadoop! And Age-Layered EM (ALEM) too.

Software for performing Bayesian penalized regression for complex trait analysis using hybrid-parallel algorithms.

Markov Localization ⭐ 7

Localize a vehicle in a given map using Markov Localization.

Bgk_traversability_mapping ⭐ 7

Bayesynergy ⭐ 6

An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments

Hierarchical Bayesian Nonparametrics (Python/C++)

👩‍🍳 🥧 Bayesian Analysis Kit for Etiology Research via Nested Partially Latent Class Models

A high-DImensional And multi-MOdeal NesteD Sampling code for Bayesian parameter estimation and model selection.

Mcmc Denoising ⭐ 6

Bayesian image denoising in C++ and Python

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Urlearning Cpp ⭐ 5

This c++ project implements a number of algorithms for learning Bayesian network structures using state space search techniques.

❗ This is a read-only mirror of the CRAN R package BDgraph — Bayesian Structure Learning in Graphical

Greenscreenmatting ⭐ 5

This is an implementation of Green Screen Matting.

GPU accelerating computing for Bayesian inference of electron microscopy images. BioEM is a publicly available software that enables the characterization of structural models with respect to individual electron microscopy images.

Topicmodeling ⭐ 5

Parallel Stochastic Collapsed Variational Bayesian Inference for LDA (SCVB) implementation in C++ using OpenMP

C++ library for discrete Bayesian networks. Bayonet can solve inference queries through exact and approximate methods.

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