# Where does Julia provide the biggest benefits over other ML frameworks for research?

**URL:** <https://discourse.julialang.org/t/where-does-julia-provide-the-biggest-benefits-over-other-ml-frameworks-for-research/28481>\
**Category:** Machine Learning\
**Created:** [September 6, 2019, 8:29pm UTC](https://discourse.julialang.org/t/where-does-julia-provide-the-biggest-benefits-over-other-ml-frameworks-for-research/28481 "2019-09-06T20:29:18Z")\
**Posts on this page:** 1\
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**Author:** ![anon92994695](https://avatars.discourse-cdn.com/v4/letter/a/ce7236/32.png) [@anon92994695](https://discourse.julialang.org/u/anon92994695)\
**Post date:** [September 6, 2019, 9:34pm UTC](https://discourse.julialang.org/t/where-does-julia-provide-the-biggest-benefits-over-other-ml-frameworks-for-research/28481/4 "2019-09-06T21:34:57Z")

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Bullet points:

- it’s incredibly easy to write research soft-ware.
- That research soft-ware runs quickly so time isn’t lost rewriting for production.
- Distributed computing is cake with JuliaDB(and other things).
- Flux is a world class neural network package in my eyes. The most flexible yet simple to use library I’ve used…
- Can easily do basically anything mathematical on a GPU without a headache
- Also, what other language can NeuralODE’s happen so easily? [DiffEqFlux.jl – A Julia Library for Neural Differential Equations](https://julialang.org/blog/2019/01/fluxdiffeq)

Personal Examples:  
Although this paper I’m going to show you isn’t cutting edge amazing machine learning I did do all of the work for it in Julia: [https://arxiv.org/pdf/1907.11129.pdf](https://arxiv.org/pdf/1907.11129.pdf) .

[GitHub - caseykneale/ChemometricsTools.jl: A collection of tools for chemometrics and machine learning written in Julia.](https://github.com/caseykneale/ChemometricsTools.jl) - I wrote the heart and soul of this library (kind of like a mini-sklearn) in like 2 months in my free time with minimal effort. Look how easy it is to use:

1. [https://github.com/caseykneale/ChemometricsTools.jl/blob/master/shootouts/ClassificationShootout.jl](https://github.com/caseykneale/ChemometricsTools.jl/blob/master/shootouts/ClassificationShootout.jl)

2. [https://github.com/caseykneale/ChemometricsTools.jl/blob/master/shootouts/RegressionShootout.jl](https://github.com/caseykneale/ChemometricsTools.jl/blob/master/shootouts/RegressionShootout.jl)

And that was written by a nonprofessional soft-ware developer (IE: me).

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