Dependency Packages
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Collide.jl4-
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SBMLToolkitTestSuite.jl4Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database
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SmoothInterpolation.jl4Interpolations making use of cached data
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IMASdd.jl3Basic data dictionary functionalities of IMAS.jl
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LaserFields.jl3-
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EarthSciMLBase.jl3Basic functionality for EarthSciML system
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LinearNoiseApproximation.jl3This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system
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Vensim2MTK.jl2A Julia package to import Vensim .xmile files as ModelingToolkit.jl models.
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MRINavigator.jl2-
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Peccon.jl2The julia library for the peccon project
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DiffEqBayesStan.jl2Stan only version of DiffEqBayes.jl
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EarthSciData.jl2-
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AtmosphericDeposition.jl2Models of atmospheric deposition using ModelingToolkit.jl
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ContinuousTimePolicyGradients.jl2A package for the development and implementation of continuous-time policy gradient (CTPG) methods.
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PathWeightSampling.jl1Julia implementation of Path Weight Sampling (PWS) to compute information transmission rates
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Aerosol.jl1Models of aerosol chemistry and physics using ModelingToolkit.jl
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EpithelialDynamics1D.jl1Simulations of epithelial dynamics in 1D.
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SMRPInversion.jl1Surface Magnetic Resonance Probabilistic Inversion
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Hyperelastics.jl1Hyperelastic Material modelling with support for Automatic Differentiation
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SynapseElife.jl1Model associated to Elife paper Rodrigues et al. 2023
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AstrodynamicalSolvers.jl0Common solvers within orbital mechanics and astrodynamics.
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IndirectTrajOpt.jl0-
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StringMethod.jl0Julia implementation of the String Method for computing transition paths and saddle points on energy landscapes
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ArviZPythonPlots.jl0-
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DynamicModelTestUtils.jl0A simple package for MTK-based model testing
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MTKHelpers.jl0Helper functions with ModelingToolkit
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GalacticPotentials.jl0Common galactic potential models as ModelingToolkit systems!
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EnvironmentalTransport.jl0Algorithms for the transport of mass and energy in the environment
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ProcessBasedModelling.jl0Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations
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