Thai Thien ttpro1995

## app_.gitignore
/build

## gist:ce988e2ef258a21e667d5919d3aab08d
Verifying that "hahattpro.id" is my Blockstack ID. https://onename.com/hahattpro

## imgur_upload.py
#!/usr/bin/env python3

'''
	Here's how you upload an image. For this example, put the cutest picture
	of a kitten you can find in this script's folder and name it 'Kitten.jpg'

	For more details about images and the API see here:
		https://api.imgur.com/endpoints/image
'''

## [Udacity][SoftwareTesting] Week1-blackbox testing
# Thai Thien

# CORRECT SPECIFICATION:
#
# the Queue class provides a fixed-size FIFO queue of integers
#
# the constructor takes a single parameter: an integer > 0 that
# is the maximum number of elements the queue can hold.
#
# empty() returns True if and only if the queue currently

## train_without_optim
import torch
import torch.nn as nn
from torch.autograd import Variable as Var

# define the data
dt = torch.Tensor([[1,0],[0,1], [1,1], [0,0]])
labels = torch.LongTensor([1, 0, 1, 0])
learning_rate = 0.01
model = nn.Linear(2,2)
criterion = nn.CrossEntropyLoss()

## gist:b192d6918427270887e39ef819ea3576
Jan/Feb/Mar/Apr/May/Jun/Jul/Aug/Sep/Oct

## gist:f6c5963723075a9ea975bf0670f48e2f
import re
import dateparser

# use re and dateparser to normalize date in sentence
# :author: Thai Thien

def p1():
    regex = r"\d+/\d+/\d+"
    token = " today is 14/2/2012 which is meowing full day. Tomorrow is 15/2/2012, which is an meowingfull day again"

## file1.txt
Demo

## file1.txt
Demo

## world-cup
<!DOCTYPE html>
<html lang="en" ng-app="starApp">
<head>
    <meta charset="utf-8" />
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="fragment" content="!">
    <meta name="viewport" content="width=1024">
    <title>188BET | Cược B&#243;ng Đ&#225; World Cup 2018</title>
<meta name="robots" content="" />
<meta name="keywords" content="world-cup, *" />
	#!/usr/bin/env python3

	'''
	Here's how you upload an image. For this example, put the cutest picture
	of a kitten you can find in this script's folder and name it 'Kitten.jpg'

	For more details about images and the API see here:
	https://api.imgur.com/endpoints/image
	'''
	# Thai Thien

	# CORRECT SPECIFICATION:
	#
	# the Queue class provides a fixed-size FIFO queue of integers
	#
	# the constructor takes a single parameter: an integer > 0 that
	# is the maximum number of elements the queue can hold.
	#
	# empty() returns True if and only if the queue currently
	import torch
	import torch.nn as nn
	from torch.autograd import Variable as Var

	# define the data
	dt = torch.Tensor([[1,0],[0,1], [1,1], [0,0]])
	labels = torch.LongTensor([1, 0, 1, 0])
	learning_rate = 0.01
	model = nn.Linear(2,2)
	criterion = nn.CrossEntropyLoss()
	import re
	import dateparser

	# use re and dateparser to normalize date in sentence
	# :author: Thai Thien

	def p1():
	regex = r"\d+/\d+/\d+"
	token = " today is 14/2/2012 which is meowing full day. Tomorrow is 15/2/2012, which is an meowingfull day again"
	<!DOCTYPE html>
	<html lang="en" ng-app="starApp">
	<head>
	<meta charset="utf-8" />
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="fragment" content="!">
	<meta name="viewport" content="width=1024">
	<title>188BET \| Cược Bóng Đá World Cup 2018</title>
	<meta name="robots" content="" />
	<meta name="keywords" content="world-cup, *" />