Dependency Packages
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NeuralPDE.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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Soss.jl401Probabilistic programming via source rewriting
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Surrogates.jl281Surrogate modeling and optimization for scientific machine learning (SciML)
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Integrals.jl166A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
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BAT.jl164A Bayesian Analysis Toolkit in Julia
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QuantLib.jl126Quantlib implementation in pure Julia
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BayesianOptimization.jl77Bayesian optimization for Julia
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QuasiMonteCarlo.jl75Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
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EasyModelAnalysis.jl74High level functions for analyzing the output of simulations
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Tilde.jl73WIP successor to Soss.jl
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DiffEqUncertainty.jl59Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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SciMLExpectations.jl59Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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Mimi.jl58Integrated Assessment Modeling Framework
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MultistartOptimization.jl57Multistart optimization methods in Julia.
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Sophon.jl36Neural networks and neural operators for physics-informed machine learning
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MonteCarloIntegration.jl32A package for multi-dimensional integration using monte carlo methods
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GlobalSensitivity.jl31Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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Plasma.jl30An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.
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GlobalSensitivityAnalysis.jl29Julia implementations of global sensitivity analysis methods.
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InformationGeometry.jl27Methods for computational information geometry
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PosteriorPlots.jl20Graphical tools for Bayesian inference and posterior predictive checks.
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FinancialMonteCarlo.jl19Julia Package for Financial Monte Carlo Simulations
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AugmentedGPLikelihoods.jl18Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
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GEMPIC.jl18Geometric ElectroMagnetic Particle-In-Cell Method
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MOSLab.jl16From Semiconductor to TransistorLevel Modeling in Julia
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ProjectionPursuit.jl15-
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SossMLJ.jl15SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language
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HighFrequencyCovariance.jl12A package for estimating and regularising correlation and covariance matrices with high frequency financial data
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UncertaintyQuantification.jl11Uncertainty Quantification in Julia
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TupleVectors.jl9-
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GasChromatographySimulator.jl9A package for the simulation of gas chromatography (GC)
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EFTfitter.jl8A tool for the combination and EFT interpretation of measurements in Julia
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MimiPAGE2020.jl7PAGE-2020 - a Julia implementation of the PAGE Integrated Assessment Model
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SFrontiers.jl6A Package for Estimating Stochastic Frontier Models using Julia
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VlasovMethods.jl5Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems
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MimiGIVE.jl5-
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SampleChainsDynamicHMC.jl4-
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IteratedProcessSimulations.jl3Simulate Machine Learning-based Business Processes in Julia
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TransportBasedInference.jl3A repository for adaptive transport maps
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MimiSNEASY.jl3-
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