Dependency Packages
-
Flux.jl4466Relax! Flux is the ML library that doesn't make you tensor
-
DataFrames.jl1725In-memory tabular data in Julia
-
Zygote.jl147621st century AD
-
CUDA.jl1193CUDA programming in Julia.
-
ForwardDiff.jl888Forward Mode Automatic Differentiation for Julia
-
StaticArrays.jl761Statically sized arrays for Julia
-
DataStructures.jl690Julia implementation of Data structures
-
TimerOutputs.jl651Formatted output of timed sections in Julia
-
HTTP.jl632HTTP for Julia
-
Tullio.jl605⅀
-
Unitful.jl603Physical quantities with arbitrary units
-
StatsBase.jl584Basic statistics for Julia
-
JLD2.jl549HDF5-compatible file format in pure Julia
-
CSV.jl466Utility library for working with CSV and other delimited files in the Julia programming language
-
Graphs.jl457An optimized graphs package for the Julia programming language
-
ChainRules.jl435Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
-
Distances.jl425A Julia package for evaluating distances (metrics) between vectors.
-
NearestNeighbors.jl413High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
-
PrettyTables.jl403Print data in formatted tables.
-
MLStyle.jl402Julia functional programming infrastructures and metaprogramming facilities
-
HDF5.jl386Save and load data in the HDF5 file format from Julia
-
MPI.jl375MPI wrappers for Julia
-
KernelAbstractions.jl363Heterogeneous programming in Julia
-
SpecialFunctions.jl350Special mathematical functions in Julia
-
GeometricFlux.jl348Geometric Deep Learning for Flux
-
StructArrays.jl319Efficient implementation of struct arrays in Julia
-
GPUArrays.jl317Reusable array functionality for Julia's various GPU backends.
-
MacroTools.jl310MacroTools provides a library of tools for working with Julia code and expressions.
-
Tables.jl299An interface for tables in Julia
-
MAT.jl278Julia module for reading MATLAB files
-
FFTW.jl269Julia bindings to the FFTW library for fast Fourier transforms
-
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.
-
MLDatasets.jl227Utility package for accessing common Machine Learning datasets in Julia
-
FileIO.jl216Main Package for IO, loading all different kind of files
-
JSON3.jl215-
-
LaTeXStrings.jl207Convenient input and display of LaTeX equation strings for the Julia language
-
Colors.jl204Color manipulation utilities for Julia
-
PrecompileTools.jl204Reduce time-to-first-execution of Julia code
-
NNlib.jl201Neural Network primitives with multiple backends
-
OffsetArrays.jl195Fortran-like arrays with arbitrary, zero or negative starting indices.
Loading more...