SciML Open Source Scientific Machine Learning
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- An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
SurrogatesBase.jl
PublicFiniteVolumeMethod1D.jl
PublicImplementation of the finite volume method in 1D.DataInterpolations.jl
PublicOptimization.jl
PublicMathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.sciml.ai
PublicThe SciML Scientific Machine Learning Software Organization WebsiteSciMLLogging.jl
PublicLinearSolve.jl
PublicLinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.SciMLTutorialsOutput
PublicTutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.NeuralPDE.jl
PublicPhysics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulationDiffEqDocs.jl
PublicDocumentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystemOrdinaryDiffEq.jl
PublicHigh performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)DASSL.jl
PublicSolves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organizationCellMLToolkit.jl
PublicCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.LightweightStats.jl
PublicFiniteVolumeMethod.jl
PublicSolver for two-dimensional conservation equations using the finite volume method in Julia.- Julia interface to Sundials, including a nonlinear solver (KINSOL), ODEs (CVODE and ARKODE), and DAEs (IDA)
ReservoirComputing.jl
PublicReservoir computing utilities for scientific machine learning (SciML)QuasiMonteCarlo.jl
PublicLightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)DataInterpolationsND.jl
PublicDiffEqProblemLibrary.jl
PublicA library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning toolsPoissonRandom.jl
PublicFast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)EllipsisNotation.jl
Public- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
FindFirstFunctions.jl
PublicDelayDiffEq.jl
PublicDelay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.BaseModelica.jl
Public