Dependency Packages
-
EcologicalNetworksDynamics.jl18A simulator for ecological dynamics written in Julia.
-
CellBasedModels.jl18Julia package for multicellular modeling
-
MeshGraphNets.jl18MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.
-
CirculatorySystemModels.jl17-
-
NeuralGraphPDE.jl17Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
-
KiteSimulators.jl17Simulators for kite power systems
-
LowRankIntegrators.jl17Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.
-
ReactiveDynamics.jl17A Julia package that implements a category of reaction (transportation) network-type dynamical systems.
-
MRIgeneralizedBloch.jl16-
-
SBMLImporter.jl16Import dynamic models in the SBML format into a ReactionSystem for Gillespie, SDE and ODE simulations
-
AstrodynamicalModels.jl16Dynamical models used within astrodynamics and orbital mechanics!
-
DelaySSAToolkit.jl15DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays
-
ControlSystemsMTK.jl15Interface between ControlSystems and ModelingToolkit
-
BondGraphs.jl14Julia implementation of the bond graph framework
-
ExactODEReduction.jl13Exact reduction of ODE models via linear transformations
-
JointSurvivalModels.jl12Julia implementation of joint models combining longitudinal and survival endpoints
-
PDEBase.jl12Common types and interface for discretizers of ModelingToolkit PDESystems.
-
MitosisStochasticDiffEq.jl12Backward-filtering forward-guiding with StochasticDiffEq.jl
-
ControlBarrierFunctions.jl12Control barrier functions (CBFs) in Julia.
-
NumericalMethodsforEngineers.jl11Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
-
EnKF.jl11Develop tools for ensemble Kalman filter
-
GeneralizedSasakiNakamura.jl11Computing solutions to the frequency-domain radial Teukolsky equation with the Generalized Sasaki-Nakamura (GSN) formalism in julia
-
ModiaLang.jl11Deprecated package (use instead Modia.jl)
-
Sisyphus.jl11A high-performance library for gradient based quantum optimal control
-
SpiDy.jl11:spider: Non-Markovian stochastic SPIn (and harmonic oscillator) DYnamics.
-
DynamicOED.jl10Optimal experimental design of ODE and DAE systems in julia
-
KiteModels.jl10Kite and tether models for the simulation of kite power systems
-
RNAForecaster.jl8-
-
NumCME.jl8Direct solution of the Chemical Master Equation in Julia.
-
ShipMMG.jl8Ship maneuvering simulation tool with respect to ShipMMG model
-
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.
-
Consensus.jl7A lightweight Consensus-Based Optimisation package for Julia
-
WaveguideQED.jl7Library for simulating time binned photons in Waveguide Quantum Electrodynamics
-
RealTimeAudioDiffEq.jl7A Julia package for real-time audification of ODEs and SDEs
-
QuantumGraining.jl7A package for obtaining the effective time-averaged Lindbladian.
-
SourceCodeMcCormick.jl6Experimental Approach to McCormick Relaxation Source-Code Transformation
-
PolynomialGTM.jl6An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.
-
VlasovMethods.jl6Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems
-
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
-
FindSteadyStates.jl6Https://stevengogogo.github.io/FindSteadyStates.jl/dev
Loading more...