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denizyuret/AutoGrad.jl

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Julia port of the Python autograd package.

3 mentions on Hacker News by 3 people: 0 stories, 3 comments · first 2017-02-21 · latest 2020-04-08

Mentions per year 3 mentions · busiest year 2017 (1)
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  1. …) - [ReverseDiff]( https://github.com/JuliaDiff/ReverseDiff.jl ) - [AutoGrad.jl]( https://github.com/denizyuret/AutoGrad.jl ) - [NiLang]( https://github.com/GiggleLiu/NiLang.jl ) (arguably not reverse mode) Symbolic: - [ModelingToolKit]( ht
    comment by oxinabox · 2020-04-08 · in Jax – Composable transformations of Python and NumPy programs
  2. …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 framework) [4] https://fluxml.ai/Flux.jl/stable/internals/tracker/ (from the Flux…
    comment by ddragon · 2019-07-20 · in A Differentiable Programming System to Bridge ML and Scientific Computing
  3. …but AD is a family of methods including dual numbers. The blog post you link to says they're using https://github.com/denizyuret/AutoGrad.jl which uses reverse-mode differentiation not Dual numbers. That means they're performing the same…
    comment by imurray · 2017-02-21 · in Dual Numbers and Automatic Differentiation (2014)