netcarver

# -*- coding: utf-8 -*-

from rasa_nlu.components import Component


"""
About
-----

The Spacy tokenizer uses lowercase by default, so training an NLU model using

martinthenext

docs[scorer.score(query).argmax()]

'Filament Chat. A framework for building and maintaining a scalable chatbot capability'

ufukhurriyetoglu

bogsio

# https://nlpforhackers.io/named-entity-extraction/

import os
import string
import collections
import pickle
from collections import Iterable

from nltk.tag import ClassifierBasedTagger
from nltk.chunk import ChunkParserI, conlltags2tree, tree2conlltags

rmeertens

shagunsodhani

Smart Reply: Automated Response Suggestion for Email

Introduction

• Proposes a novel, end-to-end architecture for generating short email responses.
• Single most important benchmark of its success is that it is deployed in Inbox by Gmail and assists with around 10% of all mobile responses.
• Link to the paper.

Challenges in deploying Smart Reply in a user-facing product

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

jqtrde

Libraries for a modern geospatial workflow

Distribution

• Writing, Running, and Distributing
• Tox driven development
• Publishing python libraries

Numpy

DavidYKay

package printtextlocations;

import java.io.File;
import java.io.IOException;
import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

import org.apache.pdfbox.exceptions.InvalidPasswordException;

bgreenlee

import os.path
import collections
from operator import itemgetter

WORDFILE = '/usr/share/dict/words'

class Autocorrect(object):
    """
    Very simplistic implementation of autocorrect using ngrams.
    """