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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.

Probabilistic_robotics ⭐ 1,080

solution of exercises of the book "probabilistic robotics"

Cmdstan ⭐ 175

CmdStan, the command line interface to Stan

The base NIMBLE package for R

Libcluster ⭐ 119

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

Paramonte ⭐ 112

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

Factored inference for discrete-continuous smoothing and mapping.

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

Sandia Uncertainty Quantification Toolkit

Diffusive Nested Sampling

Bayestyper ⭐ 52

A method for variant graph genotyping based on exact alignment of k-mers

Bayesian MCMC matrix factorization algorithm

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Dp_means ⭐ 38

Dirichlet Process K-means

Bayesian Inference of State Space Models

Carma_pack ⭐ 36

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

Parallel library for approximate inference on discrete Bayesian networks

Single-cell copy number calling and event history reconstruction.

Bayesforecast ⭐ 17

Automatic forecasting and Bayesian modeling for time series with Stan

Multilayermapping ⭐ 12

Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference

Bayesian Estimation of Structural Vector Autoregressive Models

Fast Bayesian Hidden Markov Model with Wavelet Compression

🎶 A collection of études on probabilistic models.

Libtext_bayes ⭐ 8

Just another Naive Bayes text classifier library for C++

Approximate Bayesian Inference Toolkit (Python, C++)

Diffusive Nested Sampling like you've never seen it before

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.

Exchanger ⭐ 5

Bayesian Entity Resolution with Exchangeable Random Partition Priors

Topicmodeling ⭐ 5

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

Elections.dtree ⭐ 4

Perform ballot-polling Bayesian audits for ranked voting elections using a Dirichlet-tree prior distribution.

Probabilistic reasoning with C++

Bayesian inference for hidden Markov Susceptible-Infected-Removed (SIR) model

C++ libraries for Bayesian inference with interacting particle systems

Paramontex ⭐ 3

This is a repository for the ParaMonte library examples. For more information, visit:

Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)

Hmc Linear Systems ⭐ 3

Hamiltonian Monte Carlo implemented for simple linear systems

Importance sampling correction approach for faster inference for exponential family state space models

Snakebacon ⭐ 3

🐍🥓 Sediment core age modeling in Python

Carnd Kidnapped Vehicle P3 ⭐ 3

Udacity Self-Driving Car Nanodegree - Kidnapped Vehicle project

A fast, sparse, parallel implementation of Pseudo-Marginal Inference for Gaussian Process Classification with Large Datasets in R and Rcpp, based on Pseudo-Marginal Bayesian Inference for Gaussian Processes.

Artificial Intelligence ⭐ 2

Artificial Intelligence Projects

Bayesiangas ⭐ 2

Bayesian inference for Generalized Autoregressive Score models.

Ibpdl Sva ⭐ 2

Code associated to IBP-DL SVA

Starstudded ⭐ 2

Probabilistic catalogs for crowded stellar fields.

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