61 Open source projects that are alternatives of or similar to ubms

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

bayesplot R package for plotting Bayesian models

『StanとRでベイズ統計モデリング』のサポートページです.

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

A Vim plugin for the Stan probabilistic programming language.

shinystan R package and ShinyStan GUI

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.

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

『基礎からわかる時系列分析』（技術評論社，2018年）のサポートサイトです。

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

State space models (dynamic linear models, hidden Markov models) implemented in Stan.

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

Materials from Stan conferences

PyStan, the Python interface to Stan

Bayesian Generalized Linear Models with Time-Varying Coefficients

RStan, the R interface to Stan

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

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

Hierarchical Attention Networks for Document Classification in Keras

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

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

CmdStanR: the R interface to CmdStan

A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan implementations. Uses d3.js for visualizations.

NATS 2.x Client Library

STUN & TURN client demo and api with python and C

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

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

A Mathematica package to interact with CmdStan

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Code for modelling estimated deaths and cases for COVID19.

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.

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

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Bayesian Data Analysis demos for Python

NATS Streaming Operator

Bayesian analysis + tidy data + geoms (R package)

Bindings for Bayesian TidyModels

Bayesian Data Analysis demos for R

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

rstanarm R package for Bayesian applied regression modeling

Stanマニュアルの日本語への翻訳プロジェクト

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

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.

Bayesian SEIR model to estimate the effects of social-distancing on COVID-19

Bayesian spatial analysis

Collection of (unfinished) notebooks

Inference case studies in knitr

Noisy network measurement with stan

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

Bayesian inference from binary causal models

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

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Projection predictive variable selection

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.

The Trendiness of Trends

Online course on statistical modeling in population ecology. Includes instructional videos with associated code and data.

Matlab interface to Stan, a package for Bayesian inference