swMATH ID: 31973
Software Authors: Innes M
Description: Flux: Elegant Machine Learning with Julia. Flux is library for machine learning (ML), written using the numerical computing language Julia (Bezanson et al. 2017). The package allows models to be written using Julia’s simple mathematical syntax, and applies automatic differentiation (AD) to seamlessly calculate derivatives and train the model. Meanwhile, it makes heavy use of Julia’s language and compiler features to carry out code analysis and make optimisations. For example, Julia’s GPU compilation support (Besard, Foket, and De Sutter 2017) can be used to JIT-compile custom GPU kernels for model layers (Innes and others 2017a)..
Homepage: https://www.theoj.org/joss-papers/joss.00602/10.21105.joss.00602.pdf
Dependencies: Julia
Keywords: Julia library; machine learning; ML; Journal of Open Source Software; JOSS; Flux.jl; automatic differentiation
Related Software: Julia; DifferentialEquations.jl; DiffEqFlux; PyTorch; MLJ; Distributions.jl; deal.ii; FinEtools; JuliaFEM; Gridap; JuMP; FEniCS; Scikit; DataFrames.jl; R; CUDAnative.jl; LeapfrogLayers; GomalizingFlow.jl; Zygote; Docker
Cited in: 3 Publications

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