dfdx/XGrad.jl
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eXpression gradients in Julia
3 mentions on Hacker News by 2 people: 0 stories, 3 comments · first 2017-11-18 · latest 2020-04-08
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…Symbolic: - [ModelingToolKit]( https://github.com/JuliaDiffEq/ModelingToolkit.jl ) - [XGrad.jl]( https://github.com/dfdx/XGrad.jl ) Finite Differencing: - [Calculus]( https://github.com/JuliaMath/Calculus.jl ) (please stop) -…
comment by oxinabox · 2020-04-08 · in Jax – Composable transformations of Python and NumPy programs -
…does not do it for AD in general (though XGrad.jl is doing it as a symbolic diff approach https://github.com/dfdx/XGrad.jl/ ), you want to work with the code reduced down to Single assignment form, and work with code blocks and the control…
comment by oxinabox · 2020-04-08 · in Jax – Composable transformations of Python and NumPy programs -
…[1]: https://github.com/dfdx/XDiff.jl [2]: https://en.wikipedia.org/wiki/Einstein_notation [3]: https://github.com/dfdx/XGrad.jl [4]: http://docs.mipro-proceedings.com/proceedings/mipro_2017_pro... [5]:…
comment by ffriend · 2017-11-18 · in Matrix Calculus