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

wiegertschouten

$columns: 12;
$gap: 30px;
$breakpoints: (
    xs: 480px,
    sm: 768px,
    md: 960px,
    lg: 1170px,
    xl: 1280px
);

mgao6767

from multiprocessing.shared_memory import SharedMemory
from multiprocessing.managers import SharedMemoryManager
from concurrent.futures import ProcessPoolExecutor, as_completed
from multiprocessing import current_process, cpu_count, Process
from datetime import datetime
import numpy as np
import pandas as pd
import tracemalloc
import time

elwinar

#!/bin/bash
# Linux version
# Use this script to pipe in/out of the clipboard
#
# Usage: someapp | clip     # Pipe someapp's output into clipboard
#        clip | someapp     # Pipe clipboard's content into someapp
#

if command -v xclip 1>/dev/null; then
    if [[ -p /dev/stdin ]] ; then

dearaujoj

git tag -d TagName && git push origin :refs/tags/TagName