144 Open source projects that are alternatives of or similar to BayesianTutorials

Latent Dirichlet Allocation

CmdStanR: the R interface to CmdStan

Bayesian Data Analysis demos for Python

Bayesian Generalized Linear Models with Time-Varying Coefficients

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

The sample question for Interview a job in Binary options

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

Collection of probabilistic models and inference algorithms

High-performance Bayesian Data Analysis on the GPU in Clojure

Bayesian Data Analysis demos for R

GPstuff - Gaussian process models for Bayesian analysis

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

The posterior R package

machine learning

A C++ library of Markov Chain Monte Carlo (MCMC) methods

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

bayesplot R package for plotting Bayesian models

shinystan R package and ShinyStan GUI

Full Bayesian Inference for Hidden Markov Models

Exploratory analysis of Bayesian models with Julia

MTfit code for Bayesian Moment Tensor Fitting

Regression with Summary Statistics.

Nested Sampling post-processing and plotting

Another A/B test library

Functions for phylogenetic analyses

Markov chain Monte Carlo solver for lattice spin systems implemented by Julialang

Bindings for Bayesian TidyModels

PhyML -- Phylogenetic estimation using (Maximum) Likelihood

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

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

Application of the L2HMC algorithm to simulations in lattice QCD.

A web interface for exploring PyMC3 traces

Bayesian Segmentation of Spatial Transcriptomics Data

Materials of the Nordic Probabilistic AI School 2021.

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Blang's software development kit

Material for a workshop on Bayesian stats with R

Bayesian nonparametric models for python

cheat sheet for Artificial Intelligence

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

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

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

Bayesian spatial analysis

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Equilibrium Expectation for ERGM parameter estimation for large directed networks

Start with the Chempy tutorial

DynamicHMC versions of StatisticalRethinking models

An R package to manipulate MCMC samples

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

Statistical Rethinking course in pymc3

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

Bayesian neural networks in PyTorch

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

Implementations of the ICML 2017 paper (with Yarin Gal)

Single-cell copy number calling and event history reconstruction.

Mini stats toolkit for Clojure/Script

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.