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

Implementing MCMC sampling from scratch in R for various Bayesian models

PhyML -- Phylogenetic estimation using (Maximum) Likelihood

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

High-performance Bayesian Data Analysis on the GPU in Clojure

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

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

A multi-planet Radial Velocity and Transit modelling software

The base NIMBLE package for R

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

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

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

Bayesian Generalized Linear Models with Time-Varying Coefficients

Use MCMC to analyze districting plans and gerrymanders

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

Turing version of StatisticalRethinking models.

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

Distributed Bayesian Entity Resolution in Apache Spark

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Application of the L2HMC algorithm to simulations in lattice QCD.

Make a sweet giant triangle confusogram (GTC) plot

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

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

Regression with Summary Statistics.

Boltzmann Machines in TensorFlow with examples

Bitmap generation from a single example with convolutions and MCMC

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

The posterior R package

Bayesian Data Analysis demos for R

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

bayesplot R package for plotting Bayesian models

Bayesian inference with probabilistic programming.

Automatic Reparameterisation of Probabilistic Programs

Fast & scalable MCMC for all your exoplanet needs!

Python MCMC Sampler

The Python ensemble sampling toolkit for affine-invariant MCMC

Full Bayesian Inference for Hidden Markov Models

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

CmdStanR: the R interface to CmdStan

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

Start with the Chempy tutorial

Bayesian Evolutionary Analysis by Sampling Trees

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

Bayesian methods in deep learning Summer School

Material for a workshop on Bayesian stats with R

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

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

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

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

Bayesian Evolutionary Analysis Sampling Trees

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

Bayesian Data Analysis demos for Python

Nested Sampling post-processing and plotting

A Bayesian Analysis Toolkit in Julia

RStan, the R interface to Stan

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

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

GPstuff - Gaussian process models for Bayesian analysis

MCMC sample analysis, kernel densities, plotting, and GUI

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