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

leanghok120

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <arpa/inet.h>

#define PORT 80

ProdeusUnity

OS Version	Arch	File Host	Size	Download Link	Rate Limits
Windows 1.0	8086	Winworld (Kansas City, Missouri)	541KB	Download	❌ Yes, 25 per day, 50 logged in
Windows 2.0	386	Winworld (Kansas City, Missouri)	2.80MB	Download	❌ Yes, 25 per day, 50 logged in
Windows 3.

luisquintanilla

#r "nuget:Microsoft.ML"
#r "nuget:Microsoft.ML.OnnxRuntime"
#r "nuget:Microsoft.ML.OnnxTransformer"
#r "nuget:Microsoft.ML.ImageAnalytics"
#r "nuget:System.Drawing.Common"

open System.IO
open System.Drawing
open Microsoft.ML
open Microsoft.ML.Data

shanselman

{
    "final_space": true,
    "console_title": true,
    "console_title_style": "folder",
    "blocks": [
        {
            "type": "prompt",
            "alignment": "left",
            "horizontal_offset": 0,
            "vertical_offset": 0,

aras-p

// Just before switching jobs:
// Add one of these.
// Preferably into the same commit where you do a large merge.
//
// This started as a tweet with a joke of "C++ pro-tip: #define private public",
// and then it quickly escalated into more and more evil suggestions.
// I've tried to capture interesting suggestions here.
//
// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_,
// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant,