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

AdSegura

#!/usr/bin/env python3
##
# Show wireguard statistics with usernames assigned to their public keys
# $> ./wg-show.py with no options will use
#       wg0_file="/etc/wireguard/wg0.conf"
#       wg_iface="wg0"
#       sg_to_timeout=300 seconds
#
# ./wg-show.py --help
# usage: wg-show.py [-h] [--config CONFIG] [--interface INTERFACE]

FantasyCheese

import 'dart:async';

import 'package:flutter/material.dart';
import 'package:provider/provider.dart';

void main() {
  runApp(MultiProvider(
    providers: [
      ChangeNotifierProvider(create: (_) => Counter()),
      ChangeNotifierProvider(create: (_) => Clock())

knee-cola

/**
 * @author knee-cola / https://github.com/knee-cola
 * Original file URL: https://gist.github.com/knee-cola/37875bc4359609b96c9f329cd2a68fa1
 */

// This is a simple progressive image loader for Three.js
// It enables the smaller image files to be loaded first,
// before the big texture image is fully loaded.
//
// The images are loaded in the order they are passed