graydon

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

walkerke

library(tmap)
library(tidycensus)
options(tigris_use_cache = TRUE)
sf::sf_use_s2(FALSE)

tarrant_housing <- get_acs(
  geography = "tract",
  state = "TX",
  county = "Tarrant",
  variables = c(

chris-prener

# Bivariate Choropleth Map
## this is based on Timo Grossenbacher and Angelo Zehr's tutorial - 
## https://timogrossenbacher.ch/2019/04/bivariate-maps-with-ggplot2-and-sf/

# dependencies
library(dplyr)      # data wrangling
library(ggplot2)    # plotting
library(purrr)      # iteration
library(tidyr)      # data wrangling

abresler

library(dplyr)
library(tidyr)
library(magrittr)
library(ggplot2)
"http://academic.udayton.edu/kissock/http/Weather/gsod95-current/NYNEWYOR.txt" %>%
	read.table() %>% data.frame %>% tbl_df -> data
names(data) <- c("month", "day", "year", "temp")

data %>%
	group_by(year, month) %>%

dennislwm

suppressPackageStartupMessages(require(RTextTools))
suppressPackageStartupMessages(require(tm))
source("C:/Users/denbrige/100 FxOption/103 FxOptionVerBack/080 Fx Git/R-source/PlusReg.R", echo=FALSE)
spam.dir <- paste0(RegGetRNonSourceDir(), "spamassassin/")
get.msg <- function(path.dir)
{
  con <- file(path.dir, open="rt", encoding="latin1")
  text <- readLines(con)
  msg <- text[seq(which(text=="")[1]+1,length(text),1)]
  close(con)

paulmillr

Most active GitHub users (git.io/top)

The list would not be updated for now. Don't write comments.

The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.

Because of GitHub search limitations, only 1000 first users according to amount of followers are included. If you are not in the list you don't have enough followers. See raw data and source code. Algorithm in pseudocode:

githubUsers

simecek

# go to 'https://developers.facebook.com/tools/explorer' to get your access token
access_token <- "******************* INPUT YOUR ACCESS TOKEN ******************************"

require(RCurl)
require(rjson)

# Facebook json function copied from original (Romain Francois) post
facebook <-  function( path = "me", access_token, options){
    if( !missing(options) ){
        options <- sprintf( "?%s", paste( names(options), "=", unlist(options), collapse = "&", sep = "" ) )