Dependency Packages
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Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor
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Plots.jl1710Powerful convenience for Julia visualizations and data analysis
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Zygote.jl135321st century AD
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ModelingToolkit.jl1212An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
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Symbolics.jl1169A fast and modern CAS for a fast and modern language.
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Revise.jl1053Automatically update function definitions in a running Julia session
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Distributions.jl987A Julia package for probability distributions and associated functions.
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CUDA.jl974CUDA programming in Julia.
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Optim.jl960Optimization functions for Julia
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ForwardDiff.jl778Forward Mode Automatic Differentiation for Julia
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LoopVectorization.jl659Macro(s) for vectorizing loops.
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StaticArrays.jl643Statically sized arrays for Julia
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DataStructures.jl616Julia implementation of Data structures
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ProgressMeter.jl596Progress meter for long-running computations
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HTTP.jl592HTTP for Julia
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JET.jl571An experimental code analyzer for Julia. No need for additional type annotations.
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TimerOutputs.jl564Formatted output of timed sections in Julia
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StatsBase.jl525Basic statistics for Julia
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Optimization.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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Unitful.jl509Physical quantities with arbitrary units
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Latexify.jl497Convert julia objects to LaTeX equations, arrays or other environments.
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JuliaFormatter.jl477An opinionated code formatter for Julia. Plot twist - the opinion is your own.
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Cthulhu.jl456The slow descent into madness
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SymbolicUtils.jl454Expression rewriting and simplification
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Lazy.jl450I was gonna maintain this package, but then I got high
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OrdinaryDiffEq.jl425High 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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Parameters.jl385Types with default field values, keyword constructors and (un-)pack macros
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Transducers.jl381Efficient transducers for Julia
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Distances.jl376A Julia package for evaluating distances (metrics) between vectors.
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MLStyle.jl364Julia functional programming infrastructures and metaprogramming facilities
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Graphs.jl364An optimized graphs package for the Julia programming language
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IterativeSolvers.jl358Iterative algorithms for solving linear systems, eigensystems, and singular value problems
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ChainRules.jl358Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
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GR.jl342Plotting for Julia based on GR, a framework for visualisation applications
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Enzyme.jl311Julia bindings for the Enzyme automatic differentiator
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SpecialFunctions.jl305Special mathematical functions in Julia
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ReverseDiff.jl301Reverse Mode Automatic Differentiation for Julia
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Lux.jl300Explicitly Parameterized Neural Networks in Julia
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JSON.jl290JSON parsing and printing
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SnoopCompile.jl289Making packages work faster with more extensive precompilation
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