Kevin Jacobs kmjjacobs

## gru_tensorflow.py
#%% (0) Important libraries
import tensorflow as tf
import numpy as np
from numpy import random
import matplotlib.pyplot as plt
from IPython import display
% matplotlib inline

#%% (1) Dataset creation.

## char_seq2seq.py
# Code for https://www.data-blogger.com/2017/12/14/create-a-character-based-seq2seq-using-python-and-tensorflow/

# Imports
import tensorflow as tf
import pandas as pd
from nltk import word_tokenize
from collections import Counter
import numpy as np

# Load the data

## chainer_logistic_regression.py
# The goal of this Gist is to implement a simple (Logistic Regression) model such that most of the functionalities of Chainer are used
# @author  K.M.J. Jacobs
# @date    2018-02-24
# @website https://www.data-blogger.com

import chainer
from chainer import reporter as reporter_module
from chainer.training.extensions import LogReport
from chainer import iterators
from chainer import training
	#%% (0) Important libraries
	import tensorflow as tf
	import numpy as np
	from numpy import random
	import matplotlib.pyplot as plt
	from IPython import display
	% matplotlib inline

	#%% (1) Dataset creation.
	# Code for https://www.data-blogger.com/2017/12/14/create-a-character-based-seq2seq-using-python-and-tensorflow/

	# Imports
	import tensorflow as tf
	import pandas as pd
	from nltk import word_tokenize
	from collections import Counter
	import numpy as np

	# Load the data
	# The goal of this Gist is to implement a simple (Logistic Regression) model such that most of the functionalities of Chainer are used
	# @author K.M.J. Jacobs
	# @date 2018-02-24
	# @website https://www.data-blogger.com

	import chainer
	from chainer import reporter as reporter_module
	from chainer.training.extensions import LogReport
	from chainer import iterators
	from chainer import training