creotiv

Use

./ml.sh -b master python3 test.py

creotiv

sudo apt-get update
sudo apt-get install -y apt-transport-https ca-certificates curl gnupg-agent software-properties-common
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
sudo apt-get update
sudo apt-get install -y docker-ce docker-ce-cli containerd.io
sudo usermod -a -G docker $USER
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
az login --identity

creotiv

resource "azurerm_storage_account" "funcsta" {
  name                     = "${local.storage_account_name}"
  resource_group_name      = "${var.resource_group_name}"
  location                 = "${var.location}"
  account_tier             = "Standard"
  account_replication_type = "${var.account_replication_type}"
  enable_blob_encryption   = "true"
  enable_file_encryption   = "true"

  tags = "${merge(var.tags, map("environment", var.environment), map("release", var.release))}"

creotiv

#Main function
Function GetWin8Key
{
$Hklm = 2147483650
$Target = $env:COMPUTERNAME
$regPath = "Software\Microsoft\Windows NT\CurrentVersion"
$DigitalID = "DigitalProductId"
$wmi = [WMIClass]"\\$Target\root\default:stdRegProv"
#Get registry value
$Object = $wmi.GetBinaryValue($hklm,$regPath,$DigitalID)

creotiv

createFakeCard(prefix, length) {
    var ccnumber = prefix;

    // generate digits

    while (ccnumber.length < length - 1) {
      ccnumber += Math.floor(Math.random() * 10);
    }

    // reverse number and convert to int

creotiv

.
├── src
│   ├── api
│   ├── reducers
│   ├── assets (global static)
│   │  ├── fonts
│   │  ├── images
│   ├── components
│   │  ├── views
│   │  ├── containers

creotiv

import cv2
import numpy as np
 
predictions = make_animation(source_image, driving_video, generator, kp_detector, relative=True)


img_array = []
h,w = predictions[0].shape[:2]

out = cv2.VideoWriter('/content/gdrive/My Drive/first-order-motion-model/project.avi',cv2.VideoWriter_fourcc(*'DIVX'), 30, (w,h))

creotiv

import React from 'react';
import { Text, View } from 'react-native';

const Button = ({ btnName }) => {
  const {
    containerStyle,
    textStyle
  } = styles;

  return (

creotiv

import {Platform, StyleSheet} from 'react-native';

const styles = StyleSheet.create({
  container: {
    flex: 1,
    ...Platform.select({
      ios: {
        backgroundColor: 'red',
      },
      android: {

creotiv

from torchvision.datasets import MNIST
from torchvision import transforms
from torch.utils.data import DataLoader

class Model(Layer):

    def __init__(self, lr=0.00001):
        self.lr = lr
        self.layers = [
            Linear(784,100, lr=self.lr),