Skip to content

Instantly share code, notes, and snippets.

View TouristShaun's full-sized avatar

SJ TouristShaun

View GitHub Profile
@caseywatts
caseywatts / 0-self-publishing.md
Last active April 29, 2025 10:17
Self-Publishing via Markdown
@levelsio
levelsio / gist:5bc87fd1b1ffbf4a705047bebd9b4790
Last active March 31, 2025 01:23
Secret of Monkey Island: Amsterdam (by @levelsio) or how to create your own ChatGPT image+text-based adventure game
# 2023-11-27 MIT LICENSE
Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com.
It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town.
Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same!
Send me your ChatGPT text adventure game on X, I'd love to try it!
@rauchg
rauchg / p.sh
Last active April 15, 2025 22:40
Perplexity CLI in pure shell
#!/usr/bin/env bash
function p() {
jq -n \
--arg content "$*" \
'{
"model": "pplx-7b-online",
"messages": [
{
"role": "system",
"content": "Be precise and concise."
@gd3kr
gd3kr / script.js
Created February 15, 2024 06:30
Download a JSON List of twitter bookmarks
/*
the twitter api is stupid. it is stupid and bad and expensive. hence, this.
Literally just paste this in the JS console on the bookmarks tab and the script will automatically scroll to the bottom of your bookmarks and keep a track of them as it goes.
When finished, it downloads a JSON file containing the raw text content of every bookmark.
for now it stores just the text inside the tweet itself, but if you're reading this why don't you go ahead and try to also store other information (author, tweetLink, pictures, everything). come on. do it. please?
*/
@wolfecameron
wolfecameron / masked_self_attention.py
Last active March 6, 2025 19:15
Basic PyTorch implementation of masked self-attention with a single attention head.
"""
Source: https://github.com/karpathy/nanoGPT/blob/master/model.py
"""
import math
import torch
from torch import nn
import torch.nn.functional as F
class MaskedSelfAttention(nn.Module):
@matthen
matthen / hello_world.py
Last active November 25, 2024 21:51
Hello world in python, using genetic algorithm
"""Hello world, with a genetic algorithm.
https://twitter.com/matthen2/status/1769368467067621791
"""
import random
import time
from dataclasses import dataclass
from itertools import chain
from typing import Iterable, List
@OrionReed
OrionReed / dom3d.js
Last active April 19, 2025 12:06
3D DOM viewer, copy-paste this into your console to visualise the DOM topographically.
// 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)_/¯
nodes:
- id: webcam
custom:
source: https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/opencv_stream.py
outputs:
- image
- id: idefics2
operator:
python: https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/idefics2_op.py
inputs:
@ali-aka-ahmed
ali-aka-ahmed / backend-setup.md
Created August 30, 2024 01:47
Backend Setup Instructions

Backend Setup Instructions

Use this guide to setup the backend for this project.

It uses Supabase, Drizzle ORM, and Server Actions.

Write the complete code for every step. Do not get lazy. Write everything that is needed.

Your goal is to completely finish the backend setup.

@deepfates
deepfates / convert_archive.py
Created November 17, 2024 19:33
Convert your twitter archive into a training dataset and markdown files
import argparse
import json
import logging
import os
import re
import shutil
from concurrent.futures import ProcessPoolExecutor, as_completed
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Callable, Dict, List, Literal, Optional, Tuple