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JuliaDiff/ForwardDiff.jl

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Forward Mode Automatic Differentiation for Julia

7 mentions on Hacker News by 7 people: 0 stories, 7 comments · first 2017-02-21 · latest 2024-03-23

Mentions per year 7 mentions · busiest year 2018 (2)
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  1. …up with that? Anyway, here's a forward differentiation package with a file that might interest you https://github.com/JuliaDiff/ForwardDiff.jl/blob/master/src/...
    comment by samatman · 2024-03-23 · in The Elements of Differentiable Programming
  2. …I want to list all of them in a table with some some key points. Forward mode: - [ForwardDiff]( https://github.com/JuliaDiff/ForwardDiff.jl ) - [ForwardDiff2]( https://github.com/YingboMa//ForwardDiff2.jl ) Reverse Mode: - [Nabla](…
    comment by oxinabox · 2020-04-08 · in Jax – Composable transformations of Python and NumPy programs
  3. …an expression, hygienic macros and reader macros and code is data. It mostly just lacks sexpr. [1] https://github.com/JuliaDiff/ForwardDiff.jl [2] https://github.com/dfdx/Yota.jl [3] https://github.com/denizyuret/AutoGrad.jl (from the Knet…
    comment by ddragon · 2019-07-20 · in A Differentiable Programming System to Bridge ML and Scientific Computing
  4. …in FluxML org and so on. https://github.com/FluxML/Zygote.jl https://github.com/jrevels/Cassette.jl https://github.com/JuliaDiff/ForwardDiff.jl https://github.com/FluxML
    comment by ViralBShah · 2019-07-19 · in A Differentiable Programming System to Bridge ML and Scientific Computing
  5. …that the dual numbers themselves were just the implementation provided by the ForwardDiff package ( https://github.com/JuliaDiff/ForwardDiff.jl ), which contains no GPU-specific specialization, and they're automagically JIT-compiled for…
    comment by jrevels · 2018-11-08 · in Dynamic Automatic Differentiation of GPU Broadcast Kernels [pdf]
  6. …in the blog post with matrix multiplication kernels, and a great example of `@eval` is: https://github.com/JuliaDiff/ForwardDiff.jl/blob/master/src/... In that link, ForwardDiff defines a gazillion function overloads for dual numbers for…
    comment by chriselrod · 2018-08-08 · in Julia v1.0 has been released
  7. …the standard library). ForwardDiff works out of the box, for free, in a huge number of cases. [1] https://github.com/JuliaDiff/ForwardDiff.jl
    comment by one-more-minute · 2017-02-21 · in Dual Numbers and Automatic Differentiation (2014)