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JuliaDiff/ChainRules.jl Public
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
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JuliaDiff/ChainRulesCore.jl Public
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any p…
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626 contributions in the last year
Activity overview
Contributed to
JuliaDiff/ChainRules.jl,
JuliaDiff/ChainRulesCore.jl,
invenia/BlockDiagonals.jl
and 36 other
repositories
Contribution activity
June 2022
Created 17 commits in 5 repositories
Created a pull request in FluxML/Zygote.jl that received 7 comments
deprecate dropgrad and ignore
Contributes to #1235
I'll do nograd separately since it is used for a few adjoints that may need to be ported first.
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