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AbstractDifferentiation.jl reviews and mentions

Posts with mentions or reviews of AbstractDifferentiation.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-29.

What packages would you like Julia to have?
5 projects | /r/Julia | 29 Nov 2022

A working common interface for all kinds of differentiation. Like AbstractDifferentiation.jl tries to do, but it is far from finished and seems unmaintained.
Multiple dispatch: Common Lisp vs Julia
4 projects | /r/Julia | 5 Mar 2022

Yes there are 3-5 different automatic differentiation implementations focusing on different algorithms and types of codes to differentiate. However if such a circumstance are discovered the Julia community tends to jointly implement abstractions. The first one was chainrules which implement the rules for derivatives of mathematical functions (how to calculate the derivative of the gamma function) in a shared place. The next step is https://github.com/JuliaDiff/AbstractDifferentiation.jl which unifies the different algorithms.

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JuliaDiff/AbstractDifferentiation.jl is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of AbstractDifferentiation.jl is Julia.

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