Requirements: xcode, homebrew
First get ayab and install requirements
Install QT 4.8
Since Qt4 is not supported anymore, brew is also ditching it from their formulas for newer macos versions, this one seems to work still.
import spacy, re | |
nlp = spacy.load("en_core_web_lg") | |
green = "spa??" # position like spa?? | |
yellow = "y" # just list | |
grey = "xg" # just list, exclude green | |
print([k for k in nlp.vocab.strings if | |
re.match(green.replace("?", "[a-z]"), k) | |
and len(k) == 5 |
{"text":"Auch das Toastbrot wird mitp\u00fcriert, es dient der Bindung","labels":["ES_ERHITZT_NICHT"]} | |
{"text":"eine Minute k\u00f6cheln","labels":["ES_ERHITZT"]} | |
{"text":"es ist einfach mega-ober-lecker","labels":["ES_ERHITZT_NICHT"]} | |
{"text":"Am Schluss l\u00e4sst man das \u00d6l bei laufendem Mixer einflie\u00dfen","labels":["ES_ERHITZT_NICHT"]} | |
{"text":"Den Grie\u00dfbrei mit dem Kompott servieren","labels":["ES_ERHITZT_NICHT"]} | |
{"text":"Nun mit dem Saft der Orange vorsichtig abschmecken - danach nicht mehr k\u00f6cheln!Auf Teller verteilen, je einen Klecks Sauerrahm dazugeben, mit in Streifen geschnittenem R\u00e4ucherlachs, Kr\u00e4utern und evtl","labels":["ES_ERHITZT_NICHT"]} | |
{"text":"Die Sauce mit Salz und Pfeffer abschmecken, bei Bedarf mit hellem Saucenbinder binden","labels":["ES_ERHITZT_NICHT"]} | |
{"text":"Den Kochschinken in kurze Streifen schneiden","labels":["ES_ERHITZT_NICHT"]} | |
{"text":"In einer gro\u00dfen Sch\u00fcssel alles gut verr\u00fchren und f\u00fcr mindestens eine Stunde im K\u00fchls |
{"text":"Auch das Toastbrot wird mitp\u00fcriert, es dient der Bindung","_input_hash":-226126182,"_task_hash":-1315299027,"label":"ERHITZEN","score":0.5017444491,"priority":0.5017444491,"spans":[],"meta":{"score":0.5017444491},"answer":"reject"} | |
{"text":"eine Minute k\u00f6cheln","_input_hash":1508612145,"_task_hash":-843120175,"label":"ERHITZEN","score":0.4917629361,"priority":0.4917629361,"spans":[],"meta":{"score":0.4917629361},"answer":"accept"} | |
{"text":"es ist einfach mega-ober-lecker","_input_hash":-1703635154,"_task_hash":-1657105861,"label":"ERHITZEN","score":0.4858001173,"priority":0.4858001173,"spans":[],"meta":{"score":0.4858001173},"answer":"reject"} | |
{"text":"Am Schluss l\u00e4sst man das \u00d6l bei laufendem Mixer einflie\u00dfen","_input_hash":-372780655,"_task_hash":317063753,"label":"ERHITZEN","score":0.4849790037,"priority":0.4849790037,"spans":[],"meta":{"score":0.4849790037},"answer":"reject"} | |
{"text":"Den Grie\u00dfbrei mit dem Kompott servieren","_input_hash":-337523063,"_task_hash":1967 |
# This small script shows how to use AllenNLP Semantic Role Labeling (http://allennlp.org/) with SpaCy 2.0 (http://spacy.io) components and extensions | |
# Script installs allennlp default model | |
# Important: Install allennlp form source and replace the spacy requirement with spacy-nightly in the requirements.txt | |
# Developed for SpaCy 2.0.0a18 | |
from allennlp.commands import DEFAULT_MODELS | |
from allennlp.common.file_utils import cached_path | |
from allennlp.service.predictors import SemanticRoleLabelerPredictor | |
from allennlp.models.archival import load_archive |
# Dockerfile for prodigy, just place your linux-wheel (prodigy-0.1.0-cp36-cp36m-linux_x86_64.whl) in same directoty as | |
# this dockerfile and: | |
# > docker build . -t prodigy | |
# > docker run -it -p 8080:8080 -v ${PWD}:/work prodigy bash | |
FROM python:3.6 | |
RUN mkdir /prodigy | |
WORKDIR /prodigy | |
COPY ./prodigy-0.1.0-cp36-cp36m-linux_x86_64.whl /prodigy | |
RUN pip install prodigy-0.1.0-cp36-cp36m-linux_x86_64.whl |
# RNN generated locations. Char-rnn with PyTorch (http://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html) | |
# Data input: district names, place names, street names, vbb stops | |
Am Berkendor Sterssae | |
Am Ber Strasse | |
Alter Strasse | |
Am Brinder Strasse | |
Am Brueder Strusse | |
Am Ber Strass | |
Am Bechender Schasse | |
Am Ber Strasse Strass |
def load_data(filename): | |
traina = cPickle.load( open( filename, "rb" ) ) | |
j = 0 | |
i = 0 | |
temp = None | |
pairs = [] | |
for r in traina: |
import spacy | |
nlp = spacy.load('en', parser=None, entity=None) | |
def get_data(): | |
for index, row in df.iterrows(): | |
yield unicode(row['question1']) | |
yield unicode(row['question2']) | |
res = [] | |
temp = None |
Requirements: xcode, homebrew
First get ayab and install requirements
Install QT 4.8
Since Qt4 is not supported anymore, brew is also ditching it from their formulas for newer macos versions, this one seems to work still.
In the spirit of Railsgirls Berlin, we want to start a programming education group for JavaScript. We need your help to get all the coaching done.
If you are interested in coaching JavaScript, fork this gist and add yourself or leave your contact data in a comment: