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import time | |
import torch | |
import torch.nn as nn | |
from apex.normalization import FusedLayerNorm | |
torch.backends.cudnn.benchmark = True |
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#!/usr/bin/env bash | |
# This script is useful if: | |
# - you have a manuscript that you want to upload to the arXiv, | |
# - you are using biblatex, and | |
# - you are using a recent version of texlive while arXiv is still on texlive2011 | |
# | |
# Put this file in a directory containing the manuscript you want to | |
# upload to arXiv.org, and adapt the paths below. |
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# -*- coding: utf-8 -*- | |
""" Small script that shows hot to do one hot encoding | |
of categorical columns in a pandas DataFrame. | |
See: | |
http://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder | |
http://scikit-learn.org/dev/modules/generated/sklearn.feature_extraction.DictVectorizer.html | |
""" | |
import pandas | |
import random |