Repositories
jClugstor/ModelingToolkit.jl
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
jClugstor/SciMLSensitivity.jl
A 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.
jClugstor/WrightOmega.jl
jClugstor/JuliaCon2026Components
Build the coolest things with Dyad Agent!
jClugstor/BaseModelica.jl
jClugstor/OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
jClugstor/LCEFromData.jl
jClugstor/LinearSolve.jl
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.
jClugstor/Optimization.jl
Mathematical 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.
jClugstor/SciMLBase.jl
The Base interface of the SciML ecosystem
jClugstor/SymbolicAnalysis.jl
Symbolics-based function property propagation for optimization
jClugstor/Sundials.jl
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODEs (CVODE and ARKODE), and DAEs (IDA)
jClugstor/LSODA.jl
A julia interface to the LSODA solver
jClugstor/BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
jClugstor/OptimalUncertaintyQuantification.jl
jClugstor/GeometricIntegratorsDiffEq.jl
Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)
jClugstor/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
jClugstor/SciMLLogging.jl
A logging system for SciML
jClugstor/ODEInterfaceDiffEq.jl
Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization
jClugstor/Integrals.jl
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
jClugstor/IRKGaussLegendre.jl
Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)
jClugstor/DASKR.jl
Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem
jClugstor/DASSL.jl
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
jClugstor/JuliaC.jl
CLI app for compiling and bundling julia binaries, especially trimmed ones
jClugstor/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
jClugstor/SimpleDiffEq.jl
Simple differential equation solvers in native Julia for scientific machine learning (SciML)
jClugstor/DelayDiffEq.jl
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
jClugstor/OMRuntimeExternalC.jl
A Julia library wrapper for MSL external C code
jClugstor/SparseMatrixColorings.jl
Coloring algorithms for sparse Jacobian and Hessian matrices