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Lyndon Ollar lbollar

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lbollar / rd_graddescent.jl
Last active April 3, 2017 18:50
Julia ReverseDiff example with gradient descent for linear regression
using ReverseDiff: GradientTape, gradient, gradient!, compile
#=
Here I am using what I would consider classical stats style of having the
observations as rows. Julia is column major order, so it is often common
to see the observations as columns and variables as rows. With certain types
of operations, this can have major performance implications.
I was using Julia v0.5 at the time of writing this.
=#
@lbollar
lbollar / regression.ipynb
Created March 28, 2017 04:52
Linear regression example using Pytorch.
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@lbollar
lbollar / PPC_Plots.ipynb
Created March 14, 2017 05:27
Test Notebook to demo plot behavior
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@lbollar
lbollar / Login.R
Last active August 29, 2015 14:20 — forked from withr/server.R
#### Log in module ###
USER <- reactiveValues(Logged = Logged)
passwdInput <- function(inputId, label) {
tagList(
tags$label(label),
tags$input(id = inputId, type="password", value="")
)
}