Dependency Packages
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      ADRIA.jl12ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.
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      GeneralizedSasakiNakamura.jl11Computing solutions to the frequency-domain radial Teukolsky equation with the Generalized Sasaki-Nakamura (GSN) formalism in julia
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      SpiDy.jl11:spider: Non-Markovian stochastic SPIn (and harmonic oscillator) DYnamics.
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      EnKF.jl11Develop tools for ensemble Kalman filter
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      NumericalMethodsforEngineers.jl11Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
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      GasChromatographySimulator.jl11A package for the simulation of gas chromatography (GC)
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      LWFBrook90.jl11Istope-enabled implementation of the LWF-BROOK90 hydrological model in Julia
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      Sisyphus.jl11A high-performance library for gradient based quantum optimal control
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      ModiaLang.jl11Deprecated package (use instead Modia.jl)
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      Trixi2Vtk.jl11Convert output files generated with Trixi.jl to VTK.
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      KitML.jl11Lightweight module of neural differential equations in Kinetic.jl
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      KiteModels.jl10Kite and tether models for the simulation of kite power systems
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      FMIExchange.jl10-
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      FMIBuild.jl10FMIBuild.jl holds dependencies that are required to compile and zip a Functional Mock-Up Unit (FMU) compliant to the FMI-standard (fmi-standard.org). Because this dependencies should not be part of the compiled FMU, they are out-sourced into this package. FMIBuild.jl provides the build-commands for the Julia package FMIExport.jl.
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      DynamicOED.jl10Optimal experimental design of ODE and DAE systems in julia
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      CryoGrid.jl10Next generation permafrost process modeling in the Julia programming language.
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      KitBase.jl9Lightweight module of physical formulations in Kinetic.jl
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      FSimROS.jl9A package of FlightSims.jl family for ROS2.
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      FastIsostasy.jl9Accelerated computation of glacial isostatic adjustment for laterally-variable solid-Earth
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      FourierGPE.jl9Simple Gross-Pitaevskii Equation solver using FFTW
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      KernelInterpolation.jl9Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension
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      FractionalSystems.jl8Fractional order systems toolbox in Julia.
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      StochasticGene.jl8Julia module to fit and analyze stochastic gene transcription models
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      ShipMMG.jl8Ship maneuvering simulation tool with respect to ShipMMG model
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      SchwarzChristoffel.jl8Construct a mapping from the unit circle to a closed polygon.
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      RNAForecaster.jl8-
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      NumCME.jl8Direct solution of the Chemical Master Equation in Julia.
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      ImmersedLayers.jl8Tools for solving partial differential equations by immersing surfaces and their operations in Cartesian grids
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      PredefinedDynamicalSystems.jl8Collection of predefined dynamical systems for DynamicalSystems.jl
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      Consensus.jl7A lightweight Consensus-Based Optimisation package for Julia
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      ConceptualClimateModels.jl7ConceptualClimateModels.jl is a Julia package for creating and analysing conceptual models of climate, such as energy balance models, glaciation cycle models, or climate tipping models.
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      Kinematic1D.jl7Prescribed flow models for testing cloud microphysics schemes.
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      QuantumGraining.jl7A package for obtaining the effective time-averaged Lindbladian.
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      ConstrainedSystems.jl7Tools for solving constrained dynamical systems
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      WaveguideQED.jl7Library for simulating time binned photons in Waveguide Quantum Electrodynamics
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      KiteControllers.jl7Controllers for airborne wind energy systems
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      RealTimeAudioDiffEq.jl7A Julia package for real-time audification of ODEs and SDEs
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      KinematicDriver.jl7Prescribed flow models for testing cloud microphysics schemes.
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      SourceCodeMcCormick.jl6Experimental Approach to McCormick Relaxation Source-Code Transformation
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      FMISensitivity.jl6Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
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