ShawonAshraf

import tensorflow as tf
from tensorflow.python.compiler.mlcompute import mlcompute

mlcompute.set_mlc_device(device_name='gpu')


mnist = tf.keras.datasets.mnist

(x_train, y_train), (x_test, y_test) = mnist.load_data()

ShawonAshraf

paris = [1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15]
france = [2, 6, 10, 12, 14]


def query(posting1, posting2):
    result = []
    it1 = iter(posting1)
    it2 = iter(posting2)

    el1 = next(it1)

ShawonAshraf

ncols = 3
nrows = 4

# create a figure of dimension nrows X ncols
fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(20, 15))

# keeps track of the indexes of iaq
df_idx_counter = 0

# iterate through the grid and plot one iaq element in each grid box

ShawonAshraf

let storeId = 386
let param = args.widgetParameter
if (param != null && param.length > 0) {
    storeId = param
}

const storeCapacity = await fetchAmountOfPaper()
const storeInfo = await fetchStoreInformation()
const widget = new ListWidget()
await createWidget()

ShawonAshraf

def merge_sort(arr):
    if len(arr) > 1:
        middle = len(arr) // 2

        left = arr[:middle]
        right = arr[middle:]

        merge_sort(left)
        merge_sort(right)

ShawonAshraf

import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data as data

import skimage
import skimage.io
import skimage.transform

ShawonAshraf

"""
Taken from https://github.com/alexander-rakhlin/CNN-for-Sentence-Classification-in-Keras
"""

import numpy as np
import re
import itertools
from collections import Counter

"""

ShawonAshraf

FROM node:10.11-alpine

WORKDIR /usr/app
COPY . .

RUN npm install

EXPOSE $PORT

CMD [ "npm", "run", "start" ]

ShawonAshraf

"scripts": {
    "start": "npm run build && node build/server.js",
    "build": "npm run clean && npm run babel-build",
    "clean": "rimraf ./build",
    "babel-build": "./node_modules/.bin/babel src/ --out-dir build/ --ignore ./node_modules/,./babelrc,./package.json,./package-lock.json,./npm-debug.log --copy-files",
    "eslint-init": "./node_modules/.bin/eslint --init",
    "test": "echo \"Error: no test specified\" && exit 1"
  },

ShawonAshraf

import express from 'express';
import morgan from 'morgan';
import bodyParser from 'body-parser';

const app = express();

app.use(morgan('combined'));
app.use(bodyParser.json());

app.get('/', (req, res) => {