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

sts10

A curated list of command-line utilities written in Rust

Note: I have moved this list to a proper repository. I'll leave this gist up, but it won't be updated. To submit an idea, open a PR on the repo.

Note that I have not tried all of these personally, and cannot and do not vouch for all of the tools listed here. In most cases, the descriptions here are copied directly from their code repos. Some may have been abandoned. Investigate before installing/using.

The ones I use regularly include: bat, dust, fd, fend, hyperfine, miniserve, ripgrep, just, cargo-audit and cargo-wipe.

• atuin: "Magical shell history"
• bandwhich: Terminal bandwidth utilization tool

ryancdotorg

#!/usr/bin/env python3
# SPDX-License-Identifier: 0BSD or CC0-1.0 or MIT-0 or Unlicense
# Copyright (c) 2023, Ryan Castellucci, No Rights Reserved

import io, sys
import datetime
import argparse
import requests
import operator
import struct

kar9222

Pfizer's vaccine effectiveness simulation

Just for fun 😄. I saw this post about Pfizer's Vaccine Effectiveness Simulation. So I simply translate the Bayesian model (implemented in Stan) into my favorite Julia library Turing.jl. For details, please read the link.

Very briefly, from Vaccine Effectiveness Simulation

NYT reports a 44 thousand person trial with half of the people going to treatment and half to control. They further report that 162 people developed COVID in the control group and 8 where in the vaccine group. What is the probability that the vaccine is effective and what is the uncertainty in that probability? The Pfizer protocol defines vaccine effectiveness as follows:

Dimitreee

Default

Powerlevel10k

inesusvet

from __future__ import print_function

"""
Pre-commit hook for Cyclomatic Complexity check
Works well with radon==2.2.0
"""

__author__ = 'Ivan Styazhkin <[email protected]>'

import subprocess

AustinRochford

jeremyjordan

import matplotlib.pyplot as plt
import keras.backend as K
from keras.callbacks import Callback


class LRFinder(Callback):
    
    '''
    A simple callback for finding the optimal learning rate range for your model + dataset. 
    

maxim5

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import print_function

__author__ = 'maxim'

import numpy as np
import gensim
import string