Bayesian inference with probabilistic programming.

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

Julia Animations and Visualizations

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

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

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.

Performant arrays where each dimension can have a named axis with values

This library uses the LaTeX package pgfplots to produce plots.

Fast, general-purpose interactive applications for complex systems

Geographical plotting utilities for Makie.jl

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

Differentiable RayTracing in Julia

Interactive display of images and movies

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

Perceptually Uniform Colour Maps for Julia

Climate science package for Julia

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Transforms and pipelines with tabular data in Julia

MADS: Model Analysis & Decision Support

Experimental Julia implementation of the Amazon Braket SDK

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

Dive deeper into your data with interactive graphics

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

Generate PowerPoint PPTX files from Julia

Julia Package for MRI Reconstruction

An abstract interface for plotting libraries, part of the Makie ecosystem.

Projective geometry for computer vision in Julia

Stochastic Optimization, Learning, Uncertainty and Sampling

High level functions for analyzing the output of simulations

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

A modern OpenGL 4.6 rendering framework, written in Julia.

Bayesian Generalized Linear models using `@formula` syntax.

Makie package to plot maptiles from various map providers

Inline graphics in the REPL using Sixel

Creating QR Codes within Julia

Turing + Makie = Turkie

Import, process and interpret geophysical data sets to be used in numerical models.