moodymudskipper

decompose <- function(expr) {
  expr <- substitute(expr)
  funs <- setdiff(all.names(expr), all.vars(expr))
  wrapped <- list()
  for (fun in funs) {
    fun_env <- environment(get(fun, envir = parent.frame()))
    if(is.null(fun_env))
      namespace <- "base"
    else
      namespace <- getNamespaceName(fun_env)

veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

RafaelWO

repos=""
sizes=""
name_lens=""

# Check if user is logged in
if ! aws sts get-caller-identity &> /dev/null; then
  echo "ERROR: Seems like your SSO session is invalid. Please run"
  printf "\n  $ aws sso login\n\n"
  echo "before you run the script."
  exit 1

uwezi

import cv2 # needs opencv-python https://pypi.org/project/opencv-python/
from PIL import Image, ImageOps
from dataclasses import dataclass

@dataclass
class VideoStatus:
    time: float = 0
    videoObject: cv2.VideoCapture = None
    def __deepcopy__(self, memo):
        return self