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CATI is a platform assisting end-users in the construction of an annotated corpus. It combines event-detection with Active Learning. This platform is supported by LABEX IMU under the project IDENUM: Identités numériques urbaines.

Home Page: https://bitbucket.org/idenum/cati/wiki/Home

License: MIT License

Python 30.64% CSS 12.07% Less 2.29% JavaScript 49.96% HTML 4.91% Shell 0.01% Ruby 0.11%
active-learning python visualization

cati's Introduction

Hi there 👋, I'm a R&D Software Developer focused on Web applications

  • 🏴󠁧󠁢󠁳󠁣󠁴󠁿 I’m currently working as a full-stack Web Engineer in the CRM domain
  • 🌱 I’m currently learning UX and browser automation
  • 🤲 I’m looking to collaborate on language learning and cultural heritage open-source projects
  • 🇦🇷 I'm Argentinean and 🇮🇹 Italian
  • 😄 I love cycling, slacklining, hiking, practicing languages, and singing

LinkedIn • Scholar • SlideShare • StackOverflow • ResearchGate • YouTube

cati's People

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