Bayesian inference with probabilistic programming.

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Plotting tools for Unfold.jl based on Makie.jl and AlgebraOfGraphics.jl

The Julia implementation of the generalised hierarchical Gaussian filter

A Julia package for behavioural modeling

Combine ingredients for a plot

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

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

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

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Bayesian Generalized Linear models using `@formula` syntax.

Stochastic Optimization, Learning, Uncertainty and Sampling

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

A package for plotting custom symbols from Taija packages.

Fitting astrophysical star formation histories via CMD modelling.

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

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

A flexible toolkit for simulation based inference in Julia

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

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

Bayesian Safety Signal Detection in Julia

High level functions for analyzing the output of simulations

Parameter estimation under uncertainty.

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Statistical Inference to DEtermine KICKS on compact objects

Computational models of algorithmic competition

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

Generate nice reports from MCMC-based approximations

Julia Package for Active Inference

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Plots for ComputerAdaptiveTesting.jl and FittedItemBanks.jl

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

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Stan only version of DiffEqBayes.jl

Quadratic approximation of posterior distribution using StanOptimize

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

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

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

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

Analysis of complex surveys