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This package provides a parser for Julia code.
This package provides number datatypes which store their values in type parameters, making them runtime constants.
This package allows multiple FFT packages to co-exist with the same underlying fft(x) and plan_fft(x) interface. It is mainly not intended to be used directly. Instead, developers of packages that implement FFTs (such as FFTW.jl or FastTransforms.jl) extend the types/functions defined in AbstractFFTs.
This package provides the @cse macro, which performs common subexpression elimination.
Extents.jl is a small package that defines an Extent object that can be used by the different Julia spatial data packages. Extent is a wrapper for a NamedTuple of tuples holding the lower and upper bounds for each dimension of a object.
This minimalistic package serves as the foundation for other SIMD packages in Julia.
ReverseDiff.jl is a fast and compile-able tape-based reverse mode AD, that implements methods to take gradients, Jacobians, Hessians, and higher-order derivatives of native Julia functions (or any callable object, really).
The purpose of this package is to allow Julia function calls to be temporarily overloaded for the purpose of testing.
ArnoldiMethod.jl provides an iterative method to find a few approximate solutions to the eigenvalue problem in standard form with main goals:
Having a native Julia implementation of the
eigsfunction that performs as well as ARPACK. With native we mean that its implementation should be generic and support any number type. Currently the partialschur function does not depend on LAPACK, and removing the last remnants of direct calls to BLAS is in the pipeline.Removing the dependency of the Julia language on ARPACK. This goal was already achieved before the package was stable enough, since ARPACK moved to a separate repository
Arpack.jl.
This package provides primitive differentiation rules that can be composed via various formulations of the chain rule. Using DiffRules, new differentiation rules can defined, query whether or not a given rule exists, and symbolically apply rules to simple Julia expressions.
This package defines functions for getting multiple indices out of dictionaries, tuples, etc, extending this ability beyond AbstractArray.
This package provides a method to ensure that arguments to a function conform to a specification.
This package provides alignment algorithms and data structures for sequence of DNA, RNA, and amino acid sequences.
The goal of RangeArrays is to provide efficient and convenient array data structures where the columns of the arrays are generated (on the fly) by Ranges.
ExprTools provides tooling for working with Julia expressions during metaprogramming. This package aims to provide light-weight performant tooling without requiring additional package dependencies.
This package implements a trait-based framework for describing array layouts such as column major, row major, etc. that can be dispatched to appropriate BLAS or optimised Julia linear algebra routines. This supports a much wider class of matrix types than Julia's in-built StridedArray.
This package provides zlib codecs for TranscodingStreams.jl.
This package provides string distances in Julia. Distances are defined for AbstractStrings, and any iterator that define length(). The package also defines Distance "modifiers" that can be applied to any distance.
This package will provide a library of functions useful for machine learning, such as softmax, sigmoid, convolutions and pooling. It doesn't provide any other "high-level" functionality like layers or AD.
BSON.jl is a Julia package for working with the Binary JSON serialisation format. It can be used as a general store for Julia data structures.
Showoff provides an interface for consistently formatting an array of n things, e.g. numbers, dates, unitful values. It's used in Gadfly, Plots and Makie to label axes and keys.
This package provides a pooled representation of arrays for purposes of compression when there are few unique elements.
This package provides a documentation generator for Julia.
This package provides the DiffResult type, which can be passed to in-place differentiation methods instead of an output buffer.