DiffEqGPU.jlGPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Stars: ✭ 131 (+244.74%)
Mutual labels: ode, dde, differential-equations, sde, dae, neural-ode, scientific-machine-learning, sciml
SciMLBenchmarks.jlBenchmarks for scientific machine learning (SciML) software and differential equation solvers
Stars: ✭ 195 (+413.16%)
Mutual labels: ode, dde, differential-equations, sde, dae, neural-ode, scientific-machine-learning, sciml
MultiScaleArrays.jlA framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Stars: ✭ 63 (+65.79%)
Mutual labels: ode, dde, differential-equations, sde, dae, neural-ode, scientific-machine-learning, sciml
DiffEqCallbacks.jlA library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Stars: ✭ 43 (+13.16%)
Mutual labels: ode, dde, differential-equations, sde, dae, neural-ode, scientific-machine-learning, sciml
diffeqrSolving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Stars: ✭ 118 (+210.53%)
Mutual labels: ode, dde, differential-equations, sde, dae, scientific-machine-learning, sciml
Differentialequations.jlMulti-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
Stars: ✭ 2,023 (+5223.68%)
Mutual labels: ode, dde, differential-equations, sde, dae, scientific-machine-learning, sciml
DiffEqSensitivity.jlA component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
Stars: ✭ 186 (+389.47%)
Mutual labels: ode, dde, sde, dae, neural-ode, scientific-machine-learning, sciml
DiffEqDevTools.jlBenchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Stars: ✭ 37 (-2.63%)
Mutual labels: ode, dde, differential-equations, sde, dae, scientific-machine-learning, sciml
DiffEqParamEstim.jlEasy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Stars: ✭ 36 (-5.26%)
Mutual labels: ode, dde, differential-equations, sde, dae, neural-ode
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
Stars: ✭ 167 (+339.47%)
Mutual labels: ode, differential-equations, dae, scientific-machine-learning, sciml
DiffEqPhysics.jlA library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Stars: ✭ 46 (+21.05%)
Mutual labels: ode, differential-equations, scientific-machine-learning, sciml
CellMLToolkit.jlCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
Stars: ✭ 50 (+31.58%)
Mutual labels: ode, differential-equations, scientific-machine-learning, sciml
BoundaryValueDiffEq.jlBoundary value problem (BVP) solvers for scientific machine learning (SciML)
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Mutual labels: differential-equations, neural-ode, scientific-machine-learning, sciml
DiffEqUncertainty.jlFast uncertainty quantification for scientific machine learning (SciML) and differential equations
Stars: ✭ 61 (+60.53%)
Mutual labels: ode, differential-equations, scientific-machine-learning, sciml
GlobalSensitivity.jlRobust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Stars: ✭ 30 (-21.05%)
Mutual labels: ode, differential-equations, scientific-machine-learning, sciml
LatentDiffEq.jlLatent Differential Equations models in Julia.
Stars: ✭ 34 (-10.53%)
Mutual labels: differential-equations, neural-ode, scientific-machine-learning, sciml
SBMLToolkit.jlSBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Stars: ✭ 25 (-34.21%)
Mutual labels: ode, differential-equations, sciml
DiffEqNoiseProcess.jlA library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
Stars: ✭ 34 (-10.53%)
Mutual labels: sde, scientific-machine-learning, sciml
dae-cppA simple but powerful C++ DAE (Differential Algebraic Equation) solver
Stars: ✭ 33 (-13.16%)
Mutual labels: ode, differential-equations, dae
Kinetic.jlUniversal modeling and simulation of fluid dynamics upon machine learning
Stars: ✭ 82 (+115.79%)
Mutual labels: differential-equations, scientific-machine-learning, sciml