Kevin P Murphy murphyk

See also https://github.com/probml

murphyk / coiled-frozen.gist

Created February 26, 2021 01:39

coiled.io NYC taxi demo is frozen

See attached screenshot

murphyk / colab-pro-spec-2020.png

Created March 5, 2021 06:28

gist

murphyk / gist:c1871bfa8c40dc1a93258e52afa2c5d1

Last active May 21, 2021 20:43

JL training pseudocode

	model = jaxLightningModule()
	def fit(model):
	opt = model.configure_optimizers()
	opt_state = opt.init(model.params)
	for iter
	for batch
	losses = model.step(batch)
	grads = jax.grad(losses, model.params)
	grad = model.reduce_gradients(grads)
	param_update, opt_state = opt.update(grad, opt_state, model.params)

murphyk / gist:30b7ae562e392d437d3b089d926c7735

Created May 25, 2021 04:08

uncertainty baselines table

add a (14x7) table of methods * tasks, where each cell lists the metrics ("at least 5") available for that combinaiton.

murphyk / colab screenshot of linreg_impute

Created May 28, 2021 15:21

screenshot of file editing

murphyk / gist:6690410a967c9096b606ee550ffc6f40

Created November 3, 2021 18:44

screenshot of github projects page from my GSOC project this summer

will add file

murphyk / jerry-kaplan-website-bug

Created November 28, 2021 20:12

The first quote on https://jerrykaplan.com/, "AI isn't magic", shows up with some hidden spam links related to the chosen font.

murphyk / shtem-2022

Created March 25, 2022 16:19

shtem payment issue

	"Payment type is a required field" yet there is no way to specify it.

murphyk / gist:da452f046b1d52ab4f04861725ff0625

Created May 28, 2023 18:59

free squat rack, weight bench and barbells

See phots below.

murphyk / bayes_tails.R

Last active September 12, 2023 22:13

illustrate tail sensitivity of Bayes (from McElreath)


	post_prior <- function(m_pr, m_lik, sd_pr, sd_lik, df_pr, df_lik,
	xlim = c(-5, 15), n = 1001, ttl = "",...) {
	xvec <- seq(xlim[1], xlim[2], length.out = n)
	tfun <- function(x,m,s,df, ...) dt((x-m)/s, df)
	prvec <- tfun(xvec, m_pr, sd_pr, df_pr)
	likvec <- tfun(xvec, m_lik, sd_lik, df_lik)
	postvec <- prveclikvec/(sum(prveclikvec)*diff(xvec[1:2]))
	matplot(xvec, cbind(prvec, likvec, postvec),
	type = "l",