CellMLToolkit.jlCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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Mutual labels: systems-biology, ode, differential-equations, sciml
SciMLBenchmarks.jlBenchmarks for scientific machine learning (SciML) software and differential equation solvers
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DiffEqDevTools.jlBenchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
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Mutual labels: ode, differential-equations, sciml
parPEParameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
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Mutual labels: systems-biology, ode, sbml
DiffEqUncertainty.jlFast uncertainty quantification for scientific machine learning (SciML) and differential equations
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Mutual labels: ode, differential-equations, sciml
Sundials.jlJulia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
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Mutual labels: ode, differential-equations, sciml
sciml.aiThe SciML Scientific Machine Learning Software Organization Website
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smfsbDocumentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology
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Mutual labels: systems-biology, sbml, gillespie-algorithm
sbml-test-suiteThe SBML Test Suite is a conformance testing system. It allows developers and users to test the degree and correctness of the SBML support provided in a software package.
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Mutual labels: systems-biology, ode, sbml
MomentClosure.jlTools to generate and study moment equations for any chemical reaction network using various moment closure approximations
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Mutual labels: systems-biology, chemical-reaction-networks, gillespie-algorithm
DiffEqGPU.jlGPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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Mutual labels: ode, differential-equations, sciml
MultiScaleArrays.jlA framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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Mutual labels: ode, differential-equations, sciml
DiffEqPhysics.jlA library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
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Mutual labels: ode, differential-equations, sciml
diffeqrSolving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
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Mutual labels: ode, differential-equations, sciml
Differentialequations.jlMulti-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
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Mutual labels: ode, differential-equations, sciml
GlobalSensitivity.jlRobust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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DiffEqCallbacks.jlA library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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Mutual labels: ode, differential-equations, sciml
pydensPyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
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Mutual labels: ode, differential-equations
dae-cppA simple but powerful C++ DAE (Differential Algebraic Equation) solver
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Mutual labels: ode, differential-equations
EscherConverterA standalone program that reads files created with the graphical network editor Escher and converts them to files in community standard formats.
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Mutual labels: systems-biology, sbml