rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

b0noI

export CONTAINER_URI="gcr.io/deeplearning-platform-release/experimental.theia.1-7"
export INSTANCE_NAME=...
export PROJECT_NAME=...
export IMAGE_PROJECT="deeplearning-platform-release"
export IMAGE_FAMILY="theia-container-experimental"
export MACHINE_TYPE=... #"n1-standard-4"
export ZONE=.... #"us-central1-a"
gcloud notebooks instances create "${INSTANCE_NAME}" \
        --project="${PROJECT_NAME}" \
        --location="${ZONE}" \

b0noI

export CONTAINER_URI="gcr.io/deeplearning-platform-release/experimental.theia.1-7"
export INSTANCE_NAME=...
export PROJECT_NAME=...
export IMAGE_PROJECT="deeplearning-platform-release"
export IMAGE_FAMILY="theia-container-experimental"
export MACHINE_TYPE=... #"n1-standard-4" 
export ZONE=... #"us-central1-a"
gcloud compute instances create "${INSTANCE_NAME}" \
        --project="${PROJECT_NAME}" \
        --zone="${ZONE}" \

tannerlinsley

Replacing Create React App with the Next.js CLI

How dare you make a jab at Create React App!?

Firstly, Create React App is good. But it's a very rigid CLI, primarily designed for projects that require very little to no configuration. This makes it great for beginners and simple projects but unfortunately, this means that it's pretty non-extensible. Despite the involvement from big names and a ton of great devs, it has left me wanting a much better developer experience with a lot more polish when it comes to hot reloading, babel configuration, webpack configuration, etc. It's definitely simple and good, but not amazing.

Now, compare that experience to Next.js which for starters has a much larger team behind it provided by a world-class company (Vercel) who are all financially dedicated to making it the best DX you could imagine to build any React application. Next.js is the 💣-diggity. It has amazing docs, great support, can grow with your requirements into SSR or static site generation, etc.

So why

erikig

tuffacton

Amir22010

Convert PascalVOC Annotations to YOLO

This script reads PascalVOC xml files, and converts them to YOLO txt files.

Note: This script was written and tested on Ubuntu. YMMV on other OS's.

Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py

Instructions:

1. Place the convert_voc_to_yolo.py file into your data folder.

tomhicks

/*
Copy this into the console of any web page that is interactive and doesn't
do hard reloads. You will hear your DOM changes as different pitches of
audio.

I have found this interesting for debugging, but also fun to hear web pages
render like UIs do in movies.
*/

const audioCtx = new (window.AudioContext || window.webkitAudioContext)()

heysamtexas

version: '3'

services:

    traefik:
        container_name: traefik
        image: traefik:v2.0
        command:
            - "--api.insecure=true"
            - "--providers.docker=true"

lizthegrey

default['sshd']['sshd_config']['AuthenticationMethods'] = 'publickey,keyboard-interactive:pam'
default['sshd']['sshd_config']['ChallengeResponseAuthentication'] = 'yes'
default['sshd']['sshd_config']['PasswordAuthentication'] = 'no'