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.

function Code() { | |
const ref = React.useRef() | |
React.useEffect(() => { | |
const handler = e => { | |
const selected = document.getSelection().toString().trim() | |
ref.current.querySelectorAll("span:not(:has(*))").forEach(element => { | |
if (element.textContent === selected) { | |
element.classList.add("selected") | |
} else { | |
element.classList.remove("selected") |
#!/usr/bin/env bash | |
######################################################################################################################## | |
# This is a build script for misc. TensorFlow dependencies which do NOT have pre-compiled packages available for | |
# M-series (Apple Silicon) macs. | |
# | |
# Who: team members who use M1 macs and would like to run the project | |
# | |
# Caution: This script will use all available processors (rendering the machine relatively unusable) and will take a | |
# significant amount of time (about 2h 0m 15s on an M1 mac). |