jbdatascience

jbdatascience

"""
Python code for fractional differencing of pandas time series
illustrating the concepts of the article "Preserving Memory in Stationary Time Series" 
by Simon Kuttruf

While this code is dedicated to the public domain for use without permission, the author disclaims any liability in connection with the use of this code.
"""

import numpy as np 
import pandas as pd

jbdatascience

- word2vec https://arxiv.org/abs/1310.4546
- sentence2vec, paragraph2vec, doc2vec http://arxiv.org/abs/1405.4053
- tweet2vec http://arxiv.org/abs/1605.03481
- tweet2vec https://arxiv.org/abs/1607.07514
- author2vec http://dl.acm.org/citation.cfm?id=2889382
- item2vec http://arxiv.org/abs/1603.04259
- lda2vec https://arxiv.org/abs/1605.02019
- illustration2vec http://dl.acm.org/citation.cfm?id=2820907
- tag2vec http://ktsaurabh.weebly.com/uploads/3/1/7/8/31783965/distributed_representations_for_content-based_and_personalized_tag_recommendation.pdf
- category2vec http://www.anlp.jp/proceedings/annual_meeting/2015/pdf_dir/C4-3.pdf

jbdatascience

*2vec papers

1. word2vec https://arxiv.org/abs/1310.4546
2. sentence2vec, paragraph2vec, doc2vec http://arxiv.org/abs/1405.4053
3. tweet2vec http://arxiv.org/abs/1605.03481
4. tweet2vec https://arxiv.org/abs/1607.07514
5. author2vec http://dl.acm.org/citation.cfm?id=2889382
6. item2vec http://arxiv.org/abs/1603.04259
7. lda2vec https://arxiv.org/abs/1605.02019
8. illustration2vec http://dl.acm.org/citation.cfm?id=2820907

jbdatascience

import os
import numpy as np
from matplotlib import pyplot as plt
from time import time

from foxhound import activations
from foxhound import updates
from foxhound import inits
from foxhound.theano_utils import floatX, sharedX