Bayesian inference with probabilistic programming.

Crafty statistical graphics for Julia.

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

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

Julia Animations and Visualizations

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

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Statistical plotting recipes for Plots.jl

Density-functional toolkit

Combine ingredients for a plot

Molecular simulation 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

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

A toolbox for satellite analysis written in julia language.

Tidier data visualization in Julia, modeled after the ggplot2 R package.

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

Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains

A Bayesian Analysis Toolkit in Julia

Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

This library uses the LaTeX package pgfplots to produce plots.

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

Kernel density estimators for Julia

Fast, general-purpose interactive applications for complex systems

Graph-related recipes to be used with Plots.jl

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

Automatic Finite Difference PDE solving with Julia SciML

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Differentiable RayTracing in Julia

Algorithms for quantifying associations, independence testing and causal inference from data.

Algorithms for quantifying associations, independence testing and causal inference from data.

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Convenience meta-package to load essential packages for statistics

A fast image augmentation library in Julia for machine learning.

Beautiful and flexible vizualizations of high dimensional data

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

Causal.jl - A modeling and simulation framework adopting causal modeling approach.