Flux.jl

Flux.jl

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Flux is a pure-Julia machine learning stack that provides lightweight abstractions for GPU and AD support, making it easy to define models and integrate existing libraries.

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Flux.jl

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Features

Compiled Eager Code
Differentiable Programming
First-class GPU support
Ecosystem of models and packages
Hackable and customizable

Use Cases

Developing machine learning modelsResearch in neural networks and differential equationsBuilding custom AI applications

Best For

ResearchersDevelopersData scientists

Pricing

Free

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