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/DiffEqDevDocs.jl
Developer documentation for the SciML scientific machine learning ecosystem's differential equation solvers
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/ExponentialUtilities.jl
Utility functions for exponential integrators for the SciML scientific machine learning ecosystem
ArnoStrouwen/HypothesisTests.jl
Hypothesis tests for Julia
ArnoStrouwen/julia
The Julia Programming Language
ArnoStrouwen/JuMP.jl
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
ArnoStrouwen/KenwardRoger.jl
ArnoStrouwen/LinearSolve.jl
LinearSolve.jl: High-Performance Unified Linear Solvers
ArnoStrouwen/LineSearch.jl
Line Search Algorithms
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/NeuralOperators.jl-1
ArnoStrouwen/OptimizationBase.jl
The base package for Optimization.jl, containing the structs and basic functions for it.
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/RootedTrees.jl
A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
ArnoStrouwen/SciMLBase.jl
The Base interface of the SciML ecosystem
ArnoStrouwen/SciMLDocs
ArnoStrouwen/SciMLExpectations.jl
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
ArnoStrouwen/StatsFuns.jl
Mathematical functions related to statistics.
ArnoStrouwen/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
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
ArnoStrouwen/websiteplayground