Dependency Packages
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Enzyme.jl438Julia bindings for the Enzyme automatic differentiator
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Accessors.jl175Update immutable data
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DifferentialEquations.jl2841Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
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OrdinaryDiffEq.jl533High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
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Contour.jl44Calculating contour curves for 2D scalar fields in Julia
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PrettyTables.jl403Print data in formatted tables.
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LinearSolve.jl244LinearSolve.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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TranscodingStreams.jl85Simple, consistent interfaces for any codec.
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SciMLBase.jl130The Base interface of the SciML ecosystem
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Plots.jl1825Powerful convenience for Julia visualizations and data analysis
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ConstructionBase.jl34Primitives for construction of objects
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JumpProcesses.jl139Build 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)
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ChainRulesCore.jl253AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
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ForwardDiff.jl888Forward Mode Automatic Differentiation for Julia
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SciMLOperators.jl42SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
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Latexify.jl558Convert julia objects to LaTeX equations, arrays or other environments.
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DataStructures.jl690Julia implementation of Data structures
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StochasticDiffEq.jl248Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
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DifferentiationInterface.jl163An interface to various automatic differentiation backends in Julia.
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DataFrames.jl1725In-memory tabular data in Julia
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SciMLStructures.jl7A structure interface for SciML to give queryable properties from user data and parameters
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Reexport.jl162Julia macro for re-exporting one module from another
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FFTW.jl269Julia bindings to the FFTW library for fast Fourier transforms
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LLVM.jl130Julia wrapper for the LLVM C API
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TimerOutputs.jl651Formatted output of timed sections in Julia
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MLStyle.jl402Julia functional programming infrastructures and metaprogramming facilities
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DelayDiffEq.jl59Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
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Sparspak.jl37Direct solution of large sparse systems of linear algebraic equations in pure Julia
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StatsFuns.jl232Mathematical functions related to statistics.
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AbstractTrees.jl200Abstract julia interfaces for working with trees
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Optim.jl1116Optimization functions for Julia
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StatsBase.jl584Basic statistics for Julia
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MathOptInterface.jl388A data structure for mathematical optimization problems
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CommonSolve.jl19A common solve function for scientific machine learning (SciML) and beyond
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ADTypes.jl38Repository for automatic differentiation backend types
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Format.jl37A Julia package to provide C and Python-like formatting support
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DiffEqBase.jl309The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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BlockArrays.jl194BlockArrays for Julia
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FastAlmostBandedMatrices.jl7-
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InvertedIndices.jl81A simple index type that allows for inverted selections
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