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). |