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

CmdStanR: the R interface to CmdStan

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

Bayesian Data Analysis demos for Python

Python MCMC Sampler

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

Bayesian methods in deep learning Summer School

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

The posterior R package

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

Bitmap generation from a single example with convolutions and MCMC

Automatic Reparameterisation of Probabilistic Programs

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

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

Full Bayesian Inference for Hidden Markov Models

A Bayesian Analysis Toolkit in Julia

Start with the Chempy tutorial

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

Material for a workshop on Bayesian stats with R

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

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

RStan, the R interface to Stan

Nested Sampling post-processing and plotting

Bayesian inference with probabilistic programming.

machine learning

Bayesian Data Analysis demos for R

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

A web interface for exploring PyMC3 traces

Distributed Bayesian Entity Resolution in Apache Spark

Implementing MCMC sampling from scratch in R for various Bayesian models

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

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

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

A multi-planet Radial Velocity and Transit modelling software

Turing version of StatisticalRethinking models.

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Make a sweet giant triangle confusogram (GTC) plot

PhyML -- Phylogenetic estimation using (Maximum) Likelihood

MCMC sample analysis, kernel densities, plotting, and GUI

Application of the L2HMC algorithm to simulations in lattice QCD.

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

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

GPstuff - Gaussian process models for Bayesian analysis

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

Boltzmann Machines in TensorFlow with examples

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

Use MCMC to analyze districting plans and gerrymanders

Regression with Summary Statistics.

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

Bayesian Generalized Linear Models with Time-Varying Coefficients

The base NIMBLE package for R

Latent Dirichlet Allocation

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

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

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

High-performance Bayesian Data Analysis on the GPU in Clojure

Bayesian Evolutionary Analysis Sampling Trees

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

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

The Python ensemble sampling toolkit for affine-invariant MCMC

bayesplot R package for plotting Bayesian models