Bayesian inference with probabilistic programming.

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Types and utility functions for summarizing Markov chain Monte Carlo simulations

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

Implementations of the models from the Statistical Rethinking book with Turing.jl

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Exploratory analysis of Bayesian models with Julia

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

Stochastic Optimization, Learning, Uncertainty and Sampling

High level functions for analyzing the output of simulations

Bayesian Generalized Linear models using `@formula` syntax.

Turing + Makie = Turkie

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Implementations of single and multi-ellipsoid nested sampling

Comparing performance and results of mcmc options using Julia

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

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An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

Implementations of parallel tempering algorithms to augment samplers with tempering capabilities

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

The Julia implementation of the generalised hierarchical Gaussian filter

Graphical tools for Bayesian inference and posterior predictive checks

An implementation of PSIS algorithms in Julia.

WIP: Wrapper package for the sample method in Stan's cmdstan executable.

Julia package for using Jags as an external program

A flexible toolkit for simulation based inference in Julia

A Julia package for Differential Evolution MCMC

A Julia package for behavioural modeling

Implementation of Arxiv:2212.08549 in Julia

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Ship maneuvering simulation tool with respect to ShipMMG model

Stan versions of StatisticalRethinking models.

Bayesian addition to Flux.jl

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Bayesian Safety Signal Detection in Julia

Sampling library for Baytes modules