Dependency Packages
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DifferentialEquations.jl1769Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
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Gadfly.jl1659Crafty statistical graphics for Julia.
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Gen.jl1546A general-purpose probabilistic programming system with programmable inference
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Turing.jl1226Bayesian inference with probabilistic programming.
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MLJ.jl1077A Julia machine learning framework
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Makie.jl855High level plotting on the GPU.
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AlphaZero.jl842A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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TensorFlow.jl831A Julia wrapper for TensorFlow
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DSGE.jl643Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
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ModelingToolkit.jl632A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
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Symbolics.jl564A fast and modern CAS for a fast and modern language.
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DiffEqFlux.jl510Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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DiffEqTutorials.jl452Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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DynamicalSystems.jl414Award winning software library for nonlinear dynamics
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GLM.jl376Generalized linear models in Julia
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QuantEcon.jl375Julia implementation of QuantEcon routines
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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.
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NeuralNetDiffEq.jl327Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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NeuralPDE.jl327Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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QuantumOptics.jl324Library for the numerical simulation of closed as well as open quantum systems.
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OpticSim.jl290Optical Simulation software
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ClimateMachine.jl287Climate Machine: an Earth System Model that automatically learns from data
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Soss.jl268Probabilistic programming via source rewriting
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StatsPlots.jl265Statistical plotting recipes for Plots.jl
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MixedModels.jl265A Julia package for fitting (statistical) mixed-effects models
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BlackBoxOptim.jl263Black-box optimization for Julia
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Stheno.jl252Probabilistic Programming with Gaussian processes in Julia
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GeoStats.jl243An extensible framework for high-performance geostatistics in Julia
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Mamba.jl237Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
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StatisticalRethinking.jl233Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.
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GaussianProcesses.jl221A Julia package for Gaussian Processes
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Modia.jl207Modeling and simulation of multidomain engineering systems
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Reinforce.jl185Abstractions, algorithms, and utilities for reinforcement learning in Julia
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LsqFit.jl184Simple curve fitting in Julia
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MonteCarloMeasurements.jl182Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
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GalacticOptim.jl178Local, global, and beyond optimization for scientific machine learning (SciML)
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Catalyst.jl175Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
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HypothesisTests.jl175Hypothesis tests for Julia
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DataDrivenDiffEq.jl170Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
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DiffEqOperators.jl166Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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