This is the Linux app named Zygote whose latest release can be downloaded as v0.7.8sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
Ad
Zygote
DESCRIPTION
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
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/zygote.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
