spacy

19 progetti condividono questo topic GitHub

Le linee collegano membri che sono misurabilmente correlati tra loro. La dimensione dei punti riflette le stelle.

🧬 Membri

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

★ 33.8k

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue…

★ 21.3k

presidio

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text,…

★ 10.2k

neuralcoref

✨Fast Coreference Resolution in spaCy with Neural Networks

★ 2.9k

thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

★ 2.9k

spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

★ 2.4k

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning…

★ 2.4k

pytextrank

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

★ 2.2k

spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

★ 1.9k

sense2vec

🦆 Contextually-keyed word vectors

★ 1.7k

refinery

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training…

★ 1.5k

spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

★ 1.4k

Dragonfire

the open-source virtual assistant for Ubuntu based Linux distributions

★ 1.4k

spacy-llm

🦙 Integrating LLMs into structured NLP pipelines

★ 1.4k

spacy-layout

📚 Process PDFs, Word documents and more with spaCy

★ 910

prodigy-recipes

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

★ 508

SpanMarkerNER

SpanMarker for Named Entity Recognition

★ 477

contextualSpellCheck

✔️Contextual word checker for better suggestions (not actively maintained)

★ 420

ai-playground

📽️ Code from tutorials presented on the "Code AI with Rok" YouTube channel

★ 321

Misurato dai temi di GitHub condivisi da entrambi i progetti, ponderato in base a quanto è raro ciascun tema.