OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

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

pjessesco

# Reference : https://stackoverflow.com/a/59539843

from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import QObject, pyqtSignal
import sys
import time
import threading

acbetter

#!/usr/bin/python3
# -*- coding: utf-8 -*-

from PyQt5.QtCore import Qt
from PyQt5.QtGui import QImage, QPixmap, QPalette, QPainter
from PyQt5.QtPrintSupport import QPrintDialog, QPrinter
from PyQt5.QtWidgets import QLabel, QSizePolicy, QScrollArea, QMessageBox, QMainWindow, QMenu, QAction, \
    qApp, QFileDialog

meased

#!/usr/bin/python3
#-*- coding:utf8 -*-

import cairo
import gi
gi.require_version('Pango', '1.0')
gi.require_version('PangoCairo', '1.0')
from gi.repository import Pango, PangoCairo

surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, 600, 100)

alexstaravoitau

#!/bin/bash

# Starts your AWS instance, connects via SSH and launches Chrome with the remote Jupyter Notebook page open.
# Usage is as follows:
# 1. Run this script, so that Chrome has launched and SSH connection is established.
# 2. Execute 'jupyter notebook' on the AWS instance.
# 3. Reload the page in Chrome and log in to Jupyter Notebook.
#
# Note: we use Chrome, as there's a known issue with Safari that won't let Jupyter Notebook connect to a remote kernel.
#

lars-tiede

import asyncio
import threading
import random


def thr(i):
    # we need to create a new loop for the thread, and set it as the 'default'
    # loop that will be returned by calls to asyncio.get_event_loop() from this
    # thread.
    loop = asyncio.new_event_loop()

erikbern

# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

pakt

#
# read/write access to python's memory, using a custom bytearray.
# some code taken from: http://tinyurl.com/q7duzxj
#
# tested on:
# Python 2.7.10, ubuntu 32bit
# Python 2.7.8, win32
#
# example of correct output:
# inspecting int=0x41424344, at 0x0228f898

jossef

def color(text, **user_styles):

    styles = {
        # styles
        'reset': '\033[0m',
        'bold': '\033[01m',
        'disabled': '\033[02m',
        'underline': '\033[04m',
        'reverse': '\033[07m',