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PolyChaos.jl
PublicA Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.SciMLSensitivity.jl
PublicA component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.- SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
ModelOrderReduction.jl
PublicHigh-level model-order reduction to automate the acceleration of large-scale simulationsDASKR.jl
PublicInterface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystemCatalyst.jl
PublicChemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.ReservoirComputing.jl
PublicReservoir computing utilities for scientific machine learning (SciML)BoundaryValueDiffEq.jl
PublicBoundary value problem (BVP) solvers for scientific machine learning (SciML)DiffEqBase.jl
PublicThe lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problemsStatic.jl
PublicADTypes.jl
PublicSimpleNorm.jl
Public- 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
RecursiveArrayTools.jl
PublicDiffEqCallbacks.jl
PublicA library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers- Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)
DiffEqDevTools.jl
PublicBenchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)PoissonRandom.jl
PublicFast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)EllipsisNotation.jl
PublicJumpProcesses.jl
PublicBuild and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)SymbolicLimits.jl
PublicBipartiteGraphs.jl
PublicMaybeInplace.jl
PublicDataCollocations.jl
PublicIRKGaussLegendre.jl
PublicExponentialUtilities.jl
PublicFast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.SimpleDiffEq.jl
PublicSimple differential equation solvers in native Julia for scientific machine learning (SciML)