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ines’s gists · GitHub
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🖤
Ines Montani ines
🖤
Digital native and software developer working on AI, Machine Learning & NLP. Founder @explosion, developing spaCy & Prodigy.
(Portrait: Sarah Andersen)
-
Founder @explosion
- Berlin, Germany
- https://ines.io
- @_inesmontani
- @ines@sigmoid.social
- in/inesmontani
- c/ExplosionAI
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| function venv { | |
| default_envdir=".env" | |
| envdir=${1:-$default_envdir} | |
| if [ ! -d $envdir ]; then | |
| python -m venv $envdir | |
| pip install ipython black flake8 | |
| echo -e "\x1b[38;5;2m✔ Created virtualenv $envdir\x1b[0m" | |
| fi | |
| source $envdir/bin/activate |
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| """ | |
| Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you | |
| run simple training experiments for NER and text classification. | |
| Requires the Prodigy annotation tool to be installed: https://prodi.gy | |
| See here for details on Streamlit: https://streamlit.io. | |
| """ | |
| import streamlit as st | |
| from prodigy.components.db import connect | |
| from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size |
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| pip install streamlit | |
| pip install spacy | |
| python -m spacy download en_core_web_sm | |
| python -m spacy download en_core_web_md | |
| python -m spacy download de_core_news_sm |
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| import difflib | |
| import wasabi | |
| def diff_strings(a, b): | |
| output = [] | |
| matcher = difflib.SequenceMatcher(None, a, b) | |
| for opcode, a0, a1, b0, b1 in matcher.get_opcodes(): | |
| if opcode == "equal": | |
| output.append(a[a0:a1]) | |
| elif opcode == "insert": |
ines
/ those_generously_buttered_noodles.py
Last active
July 23, 2023 12:25
Using spaCy & NLP to create variations of "those generously buttered noodles"
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| # Using spaCy & NLP to create variations of "those generously buttered noodles" | |
| # See here: https://twitter.com/ArielDumas/status/1086294656957272065 | |
| # | |
| # Disclaimer 1: This is a quick, simplified example focusing on one particular | |
| # sentence. There are obviously many more different constructions and | |
| # different types of dependencies you want to cover. Some aspects also become | |
| # significantly more difficult if you're working with, say, German instead of | |
| # English. | |
| # | |
| # Disclaimer 2: Creating spam comments is a very bad use case for NLP and |
ines
/ spacy_token_attrs.py
Last active
May 2, 2021 04:32
spaCy v2.0 example: Get and set token text character spans as custom attribute extensions
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| # coding: utf8 | |
| from __future__ import unicode_literals | |
| from spacy.lang.en import English | |
| from spacy.tokens import Token | |
| # Example of using spaCy v2.0's custom attribute extensions to get and set | |
| # character spans of a token text as token attributes. | |
| # Discussion: https://twitter.com/DavidWell/status/920245066404450304 |
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| import spacy | |
| nlp = spacy.load('🦄') | |
| doc = nlp(u'Wow, my model is named 🦄 !') | |
| for word in doc: | |
| print(word.text, word.tag_, word.dep_, word.head.text) |
ines
/ _displacy.jade
Created
October 20, 2016 12:48
displaCy.js NLP visualizer Jade/Pug mixin (to use in Node/Express, Harp, etc.)
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| //- Usage: +displacy({ arcs: [...], words: [...] }) | |
| //- Blog post for more info: https://explosion.ai/blog/displacy-js-nlp-visualizer | |
| //- spaCy REST service to generate JSON markup: https://github.com/explosion/spacy-services | |
| - var distance = 200 | |
| - var offsetX = 50 | |
| - var arrowSpacing = 20 | |
| - var arrowWidth = 10 | |
| - var arrowStroke = 2 |
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