Dependency Packages
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Adapt.jl89-
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ArrayInterface.jl133Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
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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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ChangesOfVariables.jl11Interface for transformation functions in Julia
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CommonWorldInvalidations.jl9Fixing the world one invalidator at a time.
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Compat.jl145Compatibility across Julia versions
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DiffRules.jl76A simple shared suite of common derivative definitions
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DocStringExtensions.jl114Extensions for Julia's docsystem.
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EllipsisNotation.jl88Julia-based implementation of ellipsis array indexing notation `..`
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FillArrays.jl181Julia package for lazily representing matrices filled with a single entry
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Functors.jl116Parameterise all the things
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IfElse.jl19Under some conditions you may need this function
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InverseFunctions.jl29Interface for function inversion in Julia
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IrrationalConstants.jl16Defines additional irrationals
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LogExpFunctions.jl74Julia package for various special functions based on `log` and `exp`.
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NaNMath.jl53Julia math built-ins which return NaN and accumulator functions which ignore NaN
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Optimisers.jl72Optimisers.jl defines many standard optimisers and utilities for learning loops.
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PDMats.jl104Uniform Interface for positive definite matrices of various structures
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PrecompileTools.jl204Reduce time-to-first-execution of Julia code
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Preferences.jl129Project Preferences Package
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Requires.jl195Lazy code loading for Julia
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RestrictedBoltzmannMachines.jl14Train and sample Restricted Boltzmann machines in Julia
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SparseArrays.jl88SparseArrays.jl is a Julia stdlib
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SpecialFunctions.jl350Special mathematical functions in Julia
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Static.jl52Static types useful for dispatch and generated functions.
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StaticArrayInterface.jl14Interface designs for enforcing static computations in array functions with Julia
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