113 Packages since 2013
User Packages
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PDEBase.jl9Common types and interface for discretizers of ModelingToolkit PDESystems.
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TruncatedStacktraces.jl25Simpler stacktraces for the Julia Programming Language
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ADTypes.jl11Repository for SciML AD backend types
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PDESystemLibrary.jl24A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia
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EasyModelAnalysis.jl74High level functions for analyzing the output of simulations
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SciMLWorkshop.jl34Workshop materials for training in scientific computing and scientific machine learning
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SymbolicIndexingInterface.jl5-
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NonlinearSolveMINPACK.jl3Wrappers for MINPACK into the SciML Common Interface
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SimpleNonlinearSolve.jl39Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
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SBMLToolkitTestSuite.jl4Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database
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ModelOrderReduction.jl27High-level model-order reduction to automate the acceleration of large-scale simulations
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SciMLOperators.jl30SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
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QuantumNLDiffEq.jl18-
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FunctionWrappersWrappers.jl7-
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MethodOfLines.jl118Automatic Finite Difference PDE solving with Julia SciML
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ModelingToolkitStandardLibrary.jl76A standard library of components to model the world and beyond
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DeepEquilibriumNetworks.jl41Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.
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DifferenceEquations.jl28Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.
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SymbolicNumericIntegration.jl93SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
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DEDataArrays.jl2A deprecated way of handling discrete data in continuous equations
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PreallocationTools.jl78Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
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LinearSolve.jl178LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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OperatorLearning.jl37No need to train, he's a smooth operator
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SBMLToolkit.jl31SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
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NeuralOperators.jl151DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
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HighDimPDE.jl60A Julia package that breaks down the curse of dimensionality in solving PDEs.
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MathML.jl21Julia MathML parser
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Static.jl49Static types useful for dispatch and generated functions.
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SciMLNLSolve.jl8Nonlinear solver bindings for the SciML Interface
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SciMLBase.jl90The Base interface of the SciML ecosystem
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GlobalSensitivity.jl31Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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GlobalDiffEq.jl9Differential equation solvers with global error estimation
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RuntimeGeneratedFunctions.jl86Functions generated at runtime without world-age issues or overhead
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IfElse.jl18Under some conditions you may need this function
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NonlinearSolve.jl112High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
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StructuralIdentifiability.jl63Fast and automatic structural identifiability software for ODE systems
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CellMLToolkit.jl51CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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HelicopterSciML.jl36Helicopter Scientific Machine Learning (SciML) Challenge Problem
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MinimallyDisruptiveCurves.jl43Finds relationships between the parameters of a mathematical model
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GalacticOptim.jl512Mathematical 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.
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