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/docker/gitea/gitea
| library(shiny) | |
| library(maps) | |
| library(maptools) | |
| library(ggplot2) | |
| library(plyr) | |
| library(XML) | |
| # Define server logic required to plot various variables against mpg | |
| shinyServer(function(input, output, session) { | |
| #Setup########################################################################## | |
| message("Checking for a personal library...") | |
| if (!dir.exists(Sys.getenv("R_LIBS_USER"))) { | |
| warning("Personal library not found, creating one...") | |
| dir.create(Sys.getenv("R_LIBS_USER"), recursive = TRUE) | |
| message("Registering newly created personal library...") | |
| .libPaths(Sys.getenv("R_LIBS_USER")) | |
| } else { |
| #!/bin/bash | |
| # Usage: mkproj [projectname] | |
| # projectname defaults to name of current directory | |
| template="Version: 1.0 | |
| RestoreWorkspace: No | |
| SaveWorkspace: No | |
| AlwaysSaveHistory: Yes |
| library(rstan) | |
| library(MASS) | |
| # Simulate some data | |
| mu <- c(10, 5, -5) | |
| Sig <- matrix(c(1, 0.7, 0.8, | |
| 0.7, 2, 0.2, | |
| 0.8, 0.2, 1.5), | |
| 3, 3) | |
| N <- 100 |
| # https://gist.github.com/noamross/73944d85cad545ae89efaa4d90b049db | |
| #' Gets a file from a github repo, using the Data API blob endpoint | |
| #' | |
| #' This avoids the 1MB limit of the content API and uses [gh::gh] to deal with | |
| #' authorization and such. See https://developer.github.com/v3/git/blobs/ | |
| #' @param url the URL of the file to download via API, of the form | |
| #' `:owner/:repo/blob/:path | |
| #' @param ref the reference of a commit: a branch name, tag, or commit SHA | |
| #' @param owner,repo,path,ref alternate way to specify the file. These will | |
| #' override values in `url` |
| ## Rsync Filter for $HOME | |
| # Universal excludes -- These apply to all subdirs | |
| - [Cc]ache | |
| - temp | |
| - tmp | |
| - octave-core | |
| # Emacs temp files | |
| - .#* |
| [ | |
| { | |
| "name": "SofleKeyboard", | |
| "author": "Josef Adamcik", | |
| "switchMount": "cherry" | |
| }, | |
| [ | |
| { | |
| "y": 0.2, | |
| "x": 3, |
https://zdevito.github.io/2022/08/16/memory-snapshots.html
# enable the recording of stack frame information for each allocation
import torch
torch.cuda.memory._record_memory_history(True)
from torchvision.models import resnet18
from pprint import pprint