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PoissonRandom.jl
PublicFast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)EllipsisNotation.jl
PublicReservoirComputing.jl
PublicReservoir computing utilities for scientific machine learning (SciML)- Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
DataInterpolations.jl
PublicNeuralOperators.jl
PublicDataDrivenDiffEq.jl
PublicData driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organizationFindFirstFunctions.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.CellMLToolkit.jl
PublicCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.- A standard library of components to model the world and beyond
BaseModelica.jl
PublicSciMLStructures.jl
Public- A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
NonlinearSolve.jl
PublicHigh-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.ADTypes.jl
PublicSciMLLogging.jl
Public- High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)
CommonSolve.jl
PublicA common solve function for scientific machine learning (SciML) and beyond- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
CasADi.jl
PublicModelingToolkit.jl
PublicAn 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 equationsSciMLDocs
PublicGlobal documentation for the Julia SciML Scientific Machine Learning OrganizationSciMLSensitivity.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.BoundaryValueDiffEq.jl
PublicBoundary value problem (BVP) solvers for scientific machine learning (SciML)FastPower.jl
PublicModelOrderReduction.jl
PublicHigh-level model-order reduction to automate the acceleration of large-scale simulations- SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
FEniCS.jl
PublicA scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language