louisguitton

<?xml version="1.0" encoding="UTF-8"?>
<gexf version="1.2" xmlns="http://www.gexf.net/1.2draft" xmlns:viz="http:///www.gexf.net/1.1draft/viz">
  <meta>
    <title>Les Miserables.gexf</title>
    <authors>Gephi 0.9.3</authors>
  </meta>
  <graph defaultedgetype="undirected">
    <attributes class="node">
      <attribute id="modularity_class" title="modularity_class" type="integer"/>
    </attributes>

louisguitton

louisguitton

louisguitton

import unicodedata
import html
import datetime
from dateutil.relativedelta import relativedelta
import csv

# how to make a GET request in python? -> learn how to use the 'requests' library
import requests

# how to use an external library to create a progress bar?

louisguitton

# pip install tqdm GitPython
from git import Repo
from git.exc import GitCommandError
from tqdm import tqdm

DEFAULT_BRANCH = "master"
IGNORED_BRANCHES = []  # develop, ...

repo = Repo(".")
branches = repo.branches

louisguitton

{
    "models/staging/localytics/stg_localytics__users_retained.sql_1": {
        "date_column": "\n    birth_date ",
        "left_bound": " dateadd('day',-370,'{{ env_var(\"EXECUTION_DATE\") }}'::date)\n    ",
        "right_bound": "'{{ env_var(\"EXECUTION_DATE\") }}'::date"
    },
    "models/staging/localytics/dim_localytics__users.sql_1": {
        "date_column": " occurred_at ",
        "left_bound": " dateadd('day', -2, '{{ env_var(\"EXECUTION_DATE\") }}') ",
        "right_bound": "dateadd('ms', -1, '{{ env_var(\"EXECUTION_DATE\") }}' + 1)\n"

louisguitton

louisguitton

How to calculate the alignment between BERT and spaCy tokens effectively and robustly

site: https://tamuhey.github.io/tokenizations/

Natural Language Processing (NLP) has made great progress in recent years because of neural networks, which allows us to solve various tasks with end-to-end architecture. However, many NLP systems still requires language-specific pre- and post-processing, especially in tokenizations. In this article, I describe an algorithm which simplifies calculating of correspondence between tokens (e.g. BERT vs. spaCy), one such process. And I introduce Python and Rust libraries that implement this algorithm.

louisguitton

louisguitton

## Hi, here are commands that will set you up for the git and github training.
## Open a terminal and copy paste those commands group by group
## Read the output to check if the command really worked.

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

brew install git

curl https://raw.githubusercontent.com/git/git/master/contrib/completion/git-completion.bash > ~/.git-completion.bash