Dependency Packages
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DiffEqBayes.jl121Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
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ProbNumDiffEq.jl118Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
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ODEFilters.jl118Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
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AlgebraicMultigrid.jl117Algebraic Multigrid in Julia
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SymbolicNumericIntegration.jl116SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
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ClimateTools.jl116Climate science package for Julia
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Causal.jl115Causal.jl - A modeling and simulation framework adopting causal modeling approach.
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RollingFunctions.jl115Roll a window over data; apply a function over the window.
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Wflow.jl115Hydrological modeling
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LowLevelParticleFilters.jl114State estimation, smoothing and parameter estimation using Kalman and particle filters.
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FunctionalModels.jl112Equation-based modeling and simulations in Julia
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ModelingToolkitStandardLibrary.jl112A standard library of components to model the world and beyond
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ODE.jl106Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
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PowerDynamics.jl104Package for dynamical modeling of power grids
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ViscousFlow.jl97A framework for simulating viscous incompressible flows about arbitrary body shapes.
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FundamentalsNumericalComputation.jl97Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
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MacroModelling.jl95Macros and functions to work with DSGE models.
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ModelingToolkitDesigner.jl94A helper tool for visualizing and editing a ModelingToolkit.jl system connections
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DiffEqCallbacks.jl94A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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TSFrames.jl92Timeseries in Julia
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ValidatedNumerics.jl85Rigorous floating-point calculations with interval arithmetic in Julia
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FMI.jl84FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!
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JuLIP.jl83Julia Library for Interatomic Potentials
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OrbitalTrajectories.jl83OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.
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FractionalDiffEq.jl80Solve Fractional Differential Equations using high performance numerical methods
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ClimaAtmos.jl79ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!
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EasyModelAnalysis.jl79High level functions for analyzing the output of simulations
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SemanticModels.jl77A julia package for representing and manipulating model semantics
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ParameterizedFunctions.jl77A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
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FastBroadcast.jl75-
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RecursiveFactorization.jl75-
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Modia3D.jl74Modeling and Simulation of 3D systems
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MultiScaleArrays.jl73A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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OpenQuantumTools.jl72Julia toolkit for open quantum system simulation.
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ReactionMechanismSimulator.jl72The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
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HighDimPDE.jl71A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
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Tyler.jl71Makie package to plot maptiles from various map providers
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IonSim.jl71A simple tool for simulating trapped ion systems
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RigidBodySim.jl71Simulation and visualization of articulated rigid body systems in Julia
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DIVAnd.jl70DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
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