78 Open source projects that are alternatives of or similar to Getdist

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

machine learning

Automatic Reparameterisation of Probabilistic Programs

Material for a workshop on Bayesian stats with R

The sample question for Interview a job in Binary options

Bayesian Data Analysis demos for R

Nested Sampling post-processing and plotting

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

Blang's software development kit

Full Bayesian Inference for Hidden Markov Models

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

Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

Bitmap generation from a single example with convolutions and MCMC

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

Bayesian methods in deep learning Summer School

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

bayesplot R package for plotting Bayesian models

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

The Python ensemble sampling toolkit for affine-invariant MCMC

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

Python MCMC Sampler

DynamicHMC versions of StatisticalRethinking models

Bayesian Data Analysis demos for Python

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)

CmdStanR: the R interface to CmdStan

PhyML -- Phylogenetic estimation using (Maximum) Likelihood

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

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

Application of the L2HMC algorithm to simulations in lattice QCD.

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

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

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

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

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

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

High-performance Bayesian Data Analysis on the GPU in Clojure

Regression with Summary Statistics.

Make a sweet giant triangle confusogram (GTC) plot

Bayesian Generalized Linear Models with Time-Varying Coefficients

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

Latent Dirichlet Allocation

Use MCMC to analyze districting plans and gerrymanders

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

Implementing MCMC sampling from scratch in R for various Bayesian models

A web interface for exploring PyMC3 traces

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

Equilibrium Expectation for ERGM parameter estimation for large directed networks

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

An R package to manipulate MCMC samples

Distributed Bayesian Entity Resolution in Apache Spark

Single-cell copy number calling and event history reconstruction.

A multi-planet Radial Velocity and Transit modelling software

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

Boltzmann Machines in TensorFlow with examples

Sequential Monte Carlo algorithm for approximation of posterior distributions.

The posterior R package

Bayesian inference with probabilistic programming.

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

RStan, the R interface to Stan

Start with the Chempy tutorial