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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 ⭐ 661

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.

Cornell Moe ⭐ 165

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

Python implementation of Bayesian Knowledge Tracing and extensions

Hypermapper ⭐ 130

Black-box Optimizer based on Bayesian Optimization

Cmdstanr ⭐ 114

CmdStanR: the R interface to CmdStan

Elo Mmr ⭐ 110

Skill estimation systems for multiplayer competitions

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)

Learning-aided 3D mapping

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 ⭐ 58

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

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

Depth-Based Bayesian Object Tracking Library

Bayesian MCMC matrix factorization algorithm

Discrete Bayesian Additive Regression Trees Sampler

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.

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.

Bali Phy ⭐ 40

Bayesian co-estimation of phylogenies and multiple alignments via MCMC

Traversability_mapping ⭐ 39

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping

Dp_means ⭐ 38

Dirichlet Process K-means

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

Sequential Line Search ⭐ 37

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

Carma_pack ⭐ 36

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

Bayesian Inference of State Space Models

Httpstan ⭐ 35

HTTP interface to Stan, a package for Bayesian inference.

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

Bayesian Causal Forests

Bayesiannetwork ⭐ 30

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

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.

Functions for phylogenetic analyses

Covidestim ⭐ 24

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

Bayesdfa ⭐ 24

Bayesian DFA with Stan

Stan4bart ⭐ 23

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

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

Bayesian ⭐ 18

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

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

Genvector ⭐ 18

Multi-modal Bayesian embedding model

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

A Bayesian group factor model with structured sparsity

Bayesian Cognitive Modelling

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.

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

Exoplanet detection in RVs with DNest4 and GPs

Joint_bayesian ⭐ 11

The joint bayesian implemention by C++

Embeddedai ⭐ 11

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

HPYLMのC++実装

Fast Bayesian Hidden Markov Model with Wavelet Compression

🎶 A collection of études on probabilistic models.

Bayesian_matting ⭐ 9

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

Toolkit for Bayesian scaling analysis

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

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.

Approximate Bayesian Inference Toolkit (Python, C++)

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

Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)

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

Bgk_traversability_mapping ⭐ 7

Markov Localization ⭐ 7

Localize a vehicle in a given map using Markov Localization.

Hadoopbnem ⭐ 7

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

R implementation of VC-BART

Dynamic Models for Survival Data

Bayesian Meta-Analysis via 'Stan'

Hierarchical Bayesian Nonparametrics (Python/C++)

Bayesynergy ⭐ 6

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

R package wrapper for the Bayesian SSUR repository

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

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

Mcmc Denoising ⭐ 6

Bayesian image denoising in C++ and Python

Urlearning Cpp ⭐ 5

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

Bayesian Nonparametric Mixture models

Identifyshifts ⭐ 5

The official implementation of the SIGIR'18 paper "Identify Shifts of Word Semantics through Bayesian Surprise"

Bayesian_ia_timing ⭐ 5

R package for "Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs." A innovative Bayesian adaptive commensurate designs that borrows adaptively from historical information and also uses a payoff function to optimize the timing of the study’s interim analysis.

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.

Lnaphylodyn ⭐ 5

Package of the research: Bayesian inference on coalescent-based phylodynamics

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