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Update docs/src/index.md
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Co-authored-by: Will Tebbutt <wt0881@my.bristol.ac.uk>
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oxinabox and willtebbutt authored May 14, 2024
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Expand Up @@ -50,7 +50,7 @@ Several packages do not automatically load rules from ChainRules by default, but

[ReverseDiff.jl](https://github.com/JuliaDiff/ReverseDiff.jl) is a reverse-mode AD that supports using `rrule`s, but not calling back into AD and opting out of rules. It requires opting in to each rule using a macro.

[Tapir.jl](https://github.com/withbayes/Tapir.jl/) is a reverse-mode add that supports importing rules defined using `rrule`, though support is experimental except when the tangent type is `Float64` or `NoTangent`.
[Tapir.jl](https://github.com/withbayes/Tapir.jl/) is a reverse-mode add that supports importing a restricted subset of rules defined using `rrule`. Specifically, rules for functions whose inputs have tangent type `Float64` or `NoTangent`.

[ForwardDiff.jl](https://github.com/JuliaDiff/ForwardDiff.jl) is not natively compatible with ChainRules.
But you can use the package [ForwardDiffChainRules.jl](https://github.com/ThummeTo/ForwardDiffChainRules.jl) to bridge this gap, which is one of the nicest ways to add rules to ForwardDiff.jl.
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