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Natural language processing
Natural language processing (NLP) is the study of how computers and humans interact.

12 Weeks, 24 Lessons, AI for All!
  • Jupyter Notebook
  • 38k
  • Updated
    2 hours ago

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
  • Python
  • 21.4k
  • Updated
    13 days ago

Public archive

Natural Language Processing Best Practices & Examples
  • Python
  • 6.4k
  • Updated
    on Aug 30, 2022

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data…
  • Python
  • 4.8k
  • Updated
    56 minutes ago

General technology for enabling AI capabilities w/ LLMs and MLLMs
  • Python
  • 4k
  • Updated
    3 days ago

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, …
  • C#
  • 1.7k
  • Updated
    on Feb 19

Multi-modality pre-training
  • Python
  • 495
  • Updated
    on May 8, 2024

A relation-aware semantic parsing model from English to SQL
  • Python
  • 430
  • Updated
    on Aug 22, 2023

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
  • Jupyter Notebook
  • 397
  • Updated
    on Jun 12, 2023

This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguatio…
  • Python
  • 278
  • Updated
    on Mar 16, 2024
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Natural language processing
Natural language processing (NLP) is the study of how computers and humans interact.
Package icon

Sponsor open source projects you depend on

Contributors are working behind the scenes to make open source better for everyone—give them the help and recognition they deserve.Explore sponsorable projects
ProTip! 
Press the
/
key to activate the search input again and adjust your query.