78 Open source projects that are alternatives of or similar to Statisticalrethinking.jl

Bayesian Data Analysis demos for R

Full Bayesian Inference for Hidden Markov Models

Bayesian inference with probabilistic programming.

RStan, the R interface to Stan

Material for a workshop on Bayesian stats with R

A Bayesian Analysis Toolkit in Julia

Automatic Reparameterisation of Probabilistic Programs

Bayesian Evolutionary Analysis Sampling Trees

Start with the Chempy tutorial

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

Bayesian Data Analysis demos for Python

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

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Bitmap generation from a single example with convolutions and MCMC

Fast & scalable MCMC for all your exoplanet needs!

bayesplot R package for plotting Bayesian models

The posterior R package

Python MCMC Sampler

Manifold Markov chain Monte Carlo methods in Python

CmdStanR: the R interface to CmdStan

The Python ensemble sampling toolkit for affine-invariant MCMC

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

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

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

Bayesian methods in deep learning Summer School

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

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

The base NIMBLE package for R

Boltzmann Machines in TensorFlow with examples

A repository to keep track of all the code that I end up writing for my blog posts.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

shinystan R package and ShinyStan GUI

High-performance Bayesian Data Analysis on the GPU in Clojure

MCMC sample analysis, kernel densities, plotting, and GUI

Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Implementing MCMC sampling from scratch in R for various Bayesian models

Use MCMC to analyze districting plans and gerrymanders

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

Collection of probabilistic models and inference algorithms

A multi-planet Radial Velocity and Transit modelling software

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Sequential Monte Carlo algorithm for approximation of posterior distributions.

GPstuff - Gaussian process models for Bayesian analysis

PhyML -- Phylogenetic estimation using (Maximum) Likelihood

Distributed Bayesian Entity Resolution in Apache Spark

Application of the L2HMC algorithm to simulations in lattice QCD.

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

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

AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

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

Turing version of StatisticalRethinking models.

Make a sweet giant triangle confusogram (GTC) plot

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

DGMs for NLP. A roadmap.

Bayesian Evolutionary Analysis by Sampling Trees

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

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz