Zygote

Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-gen AD system for the Flux differentiable programming framework. For more details and benchmarks of Zygote's technique, see our paper. You may want to check out Flux for more interesting examples of Zygote usage; the documentation here focuses on internals and advanced AD usage.

Features

Zygote supports Julia 1.6 onwards, but we highly recommend using Julia 1.8 or later
Zygote supports the flexibility and dynamism of the Julia language, including control flow, recursion, closures, structs, dictionaries, and more
Zygote benefits from using the ChainRules.jl ruleset
Custom gradients can be defined by extending the ChainRulesCore.jl's rrule
To support large machine learning models with many parameters, Zygote can differentiate implicitly-used parameters
Examples available

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Additional Project Details

Programming Language

Julia

Related Categories

Julia Machine Learning Software

Registered

2023-11-02

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