Pinned Repositories
ADTypes.jl
Repository for automatic differentiation backend types
ArnoTester.jl
ASKEM
BaseModelica.jl
BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
CellMLToolkit.jl
CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
CITester
CITester.jl
ColPrac
Contributor's Guide on Collaborative Practices for Community Packages
ArnoStrouwen's Repositories
ArnoStrouwen/Symbolics.jl
Symbolic programming for the next generation of numerical software
ArnoStrouwen/ADTypes.jl
Repository for automatic differentiation backend types
ArnoStrouwen/CITester
ArnoStrouwen/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
ArnoStrouwen/DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
ArnoStrouwen/DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
ArnoStrouwen/DiffEqSensitivity.jl
A 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.
ArnoStrouwen/DifferenceEquations.jl
Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.
ArnoStrouwen/ExponentialUtilities.jl
Utility functions for exponential integrators for the SciML scientific machine learning ecosystem
ArnoStrouwen/FindFirstFunctions.jl
Faster `findfirst(==(val), dense_vector)`.
ArnoStrouwen/JumpProcesses.jl
Build 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)
ArnoStrouwen/LabelledArrays.jl
Arrays which also have a label for each element for easy scientific machine learning (SciML)
ArnoStrouwen/LinearSolve.jl
LinearSolve.jl: High-Performance Unified Linear Solvers
ArnoStrouwen/MINPACK.jl
Wrapper for cminpack multivariate root finding routines
ArnoStrouwen/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
ArnoStrouwen/ModelingToolkitCourse
A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices
ArnoStrouwen/ModelingToolkitWebinar
Code and notes from ModelingToolkit.jl Webinar for Industrial Modeling
ArnoStrouwen/MultiScaleArrays.jl
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
ArnoStrouwen/Optimization.jl
Local, global, and beyond optimization for scientific machine learning (SciML)
ArnoStrouwen/OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
ArnoStrouwen/ParameterizedFunctions.jl
A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
ArnoStrouwen/QuasiMonteCarlo.jl
Lightweight 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)
ArnoStrouwen/ReactionNetworkImporters.jl
Catalyst.jl importers for various reaction network file formats.
ArnoStrouwen/RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
ArnoStrouwen/SciMLBase.jl
The Base interface of the SciML ecosystem
ArnoStrouwen/SciMLExpectations.jl
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
ArnoStrouwen/SurrogatesBase.jl
Basically just a surrogate in disguise
ArnoStrouwen/SymbolicIndexingInterface.jl
ArnoStrouwen/SymbolicUtils.jl
Expression rewriting and simplification
ArnoStrouwen/UDEComponents.jl
Easily embed neural networks in MTK models