jerinphilip

yzh119

from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable

def sample_gumbel(shape, eps=1e-20):
    U = torch.rand(shape).cuda()
    return -Variable(torch.log(-torch.log(U + eps) + eps))

Geoyi

How to install virtualenv:

Install pip first

sudo apt-get install python3-pip

Then install virtualenv using pip3

sudo pip3 install virtualenv 

Tushar-N

import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

seqs = ['gigantic_string','tiny_str','medium_str']

# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))

# make model

xcsrz

#!/usr/bin/env python

import numpy as np
import cv2
from time import sleep

# create blank image - y, x
img = np.zeros((600, 1000, 3), np.uint8)

# setup text

MajorTal

from numpy.random import choice as random_choice, randint as random_randint, rand
MAX_INPUT_LEN = 40
AMOUNT_OF_NOISE = 0.2 / MAX_INPUT_LEN
CHARS = list("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ .")

def add_noise_to_string(a_string, amount_of_noise):
    """Add some artificial spelling mistakes to the string"""
    if rand() < amount_of_noise * len(a_string):
        # Replace a character with a random character
        random_char_position = random_randint(len(a_string))