ironman5366/W.I.L.L
quality grade D, 48 out of 100A python written personal assistant
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Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
A python written personal assistant
Information extraction from English and German texts based on predicate logic
SpikeX - SpaCy Pipes for Knowledge Extraction
✔️Contextual word checker for better suggestions (not actively maintained)
:hospital: Medical Text Mining and Information Extraction with spaCy
🍣 A lightweight console printing and formatting toolkit
Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
SpanMarker for Named Entity Recognition
Generating multiple choice questions from text using Machine Learning.
A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.
Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.
Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker
Library for clinical NLP with spaCy.
💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
Full text geoparsing as a Python library
📚 Process PDFs, Word documents and more with spaCy
The Classical Language Toolkit
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
🪐 End-to-end NLP workflows from prototype to production
🦆 Contextually-keyed word vectors
💫 Models for the spaCy Natural Language Processing (NLP) library
A full spaCy pipeline and models for scientific/biomedical documents.
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
NLP, before and after spaCy
24,523 repositories in the index in total.