Dependency Packages

DifferentialEquations.jl1769Multilanguage suite for highperformance solvers of differential equations and scientific machine learning (SciML) components

Gadfly.jl1659Crafty statistical graphics for Julia.

Gen.jl1546A generalpurpose probabilistic programming system with programmable inference

Turing.jl1226Bayesian inference with probabilistic programming.

MLJ.jl1077A Julia machine learning framework

Makie.jl855High level plotting on the GPU.

AlphaZero.jl842A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

TensorFlow.jl831A Julia wrapper for TensorFlow

Distributions.jl687A Julia package for probability distributions and associated functions.

DSGE.jl643Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

ModelingToolkit.jl632A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physicsinformed machine learning and automated transformations of differential equations

Symbolics.jl564A fast and modern CAS for a fast and modern language.

DiffEqFlux.jl510Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

DiffEqTutorials.jl452Tutorials for doing scientific machine learning (SciML) and highperformance differential equation solving with open source software.

DynamicalSystems.jl414Award winning software library for nonlinear dynamics

GLM.jl376Generalized linear models in Julia

QuantEcon.jl375Julia implementation of QuantEcon routines

POMDPs.jl356MDPs and POMDPs in Julia  An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

NeuralNetDiffEq.jl327PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NeuralPDE.jl327PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

QuantumOptics.jl324Library for the numerical simulation of closed as well as open quantum systems.

OpticSim.jl290Optical Simulation software

ClimateMachine.jl287Climate Machine: an Earth System Model that automatically learns from data

ControlSystems.jl279A Control Systems Toolbox for Julia

Soss.jl268Probabilistic programming via source rewriting

StatsPlots.jl265Statistical plotting recipes for Plots.jl

MixedModels.jl265A Julia package for fitting (statistical) mixedeffects models

BlackBoxOptim.jl263Blackbox optimization for Julia

Stheno.jl252Probabilistic Programming with Gaussian processes in Julia

GeoStats.jl243An extensible framework for highperformance geostatistics in Julia

Mamba.jl237Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

StatisticalRethinking.jl233Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

GaussianProcesses.jl221A Julia package for Gaussian Processes

OrdinaryDiffEq.jl216High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Modia.jl207Modeling and simulation of multidomain engineering systems

Reinforce.jl185Abstractions, algorithms, and utilities for reinforcement learning in Julia

LsqFit.jl184Simple curve fitting in Julia

MonteCarloMeasurements.jl182Propagation of distributions by MonteCarlo sampling: Real number types with uncertainty represented by samples.

GalacticOptim.jl178Local, global, and beyond optimization for scientific machine learning (SciML)

DiffEqBiological.jl175Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPUparallelized, and O(1) solvers in open source software
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