thomasmaxson

blueprint:
  name: Philips Hue, Dimmer Remote Control
  description: Control devices with your Philips Hue Dimmer remote.
  author: Thomas Maxson
  source_url: https://gist.github.com/thomasmaxson/7aeffeefb4950278c5ecfca303332c12
  homeassistant:
    min_version: 2024.6.0
  domain: automation
  input:
    remote:

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

jbochi

from gguf.gguf_reader import GGUFReader

def get_string_array_field(gguf_reader: GGUFReader, key: str):
    f = gguf_reader.get_field(key)

SethBling

-- MarI/O by SethBling
-- Feel free to use this code, but please do not redistribute it.
-- Intended for use with the BizHawk emulator and Super Mario World or Super Mario Bros. ROM.
 
if gameinfo.getromname() == "Super Mario World (USA)" then
        Filename = "DP1.state"
        ButtonNames = {
                "A",
                "B",
                "X",

anshulxyz

Privacy Policy for [Bot Name]

This Privacy Policy governs the collection, use, and sharing of personal information by [Bot Name], a Discord bot developed by [Developer Name]. By using [Bot Name], you agree to the terms of this Privacy Policy.

Information We Collect

We collect information that you provide to us through your use of the bot, such as your Discord user ID and username, server and channel information, and message content. We may also collect usage data, such as the frequency and duration of your use of the bot.

How We Use Your Information

kryptek

#!/usr/bin/env bash

# checck if pidof exists
PIDOF="$(which pidof)"
# and if not - install it
(test "${PIDOF}" && test -f "${PIDOF}") || brew install pidof

# find app in default paths
CO_PWD=~/Applications/CrossOver.app/Contents/MacOS
test -d "${CO_PWD}" || CO_PWD=/Applications/CrossOver.app/Contents/MacOS

PiDelport

// ==UserScript==
// @name         Slack Web Workspace Sidebar
// @description  Enable the workspace sidebar on the web version of Slack.
// @namespace    https://github.com/PiDelport/
// @author       Pi Delport <pjdelport@gmail.com>
// @version      1.0
// @license      MIT
// @homepageURL  https://gist.github.com/PiDelport/513676916e8fc186a09edfc8965a410b
// @match        https://app.slack.com/*
// ==/UserScript==

leommxj

# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------
# Processor module template script
# (c) Hex-Rays
import sys
from ida_bytes import *
from ida_ua import *
from ida_idp import *
from ida_auto import *
from ida_nalt import *

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp