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

jkone27

#r "nuget: FsHttp"
#r "nuget: Spectre.Console.ImageSharp"

open FsHttp
open Spectre.Console


let imgUrl =
    "https://banner2.cleanpng.com/20200525/frt/transparent-hero-image-hero-logo-cartoon-5ecc928ba8c9a0.2212187815904651636914.jpg"

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,

Tset-Noitamotua

"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"
"                                                                              "
"                       __   _ _ _ __ ___  _ __ ___                            "
"                       \ \ / / | '_ ` _ \| '__/ __|                           "
"                        \ V /| | | | | | | | | (__                            "
"                         \_/ |_|_| |_| |_|_|  \___|                           "
"                                                                              "
"                                                                              "
"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"

dejuata

#include <cstdlib>
#include <iostream>
#include <stdlib.h>
#include <time.h>

#define length(x) (sizeof(x)/sizeof(x[0]))

using namespace std;

int convolucion ()

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,

mathias-brandewinder

// This F# dojo is directly inspired by the 
// Digit Recognizer competition from Kaggle.com:
// http://www.kaggle.com/c/digit-recognizer
// The datasets below are simply shorter versions of
// the training dataset from Kaggle.
 
// The goal of the dojo will be to
// create a classifier that uses training data
// to recognize hand-written digits, and
// evaluate the quality of our classifier