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[P] Open source an NLP/speech library DELTA

Hi everyone, we recently open source our NLP/speech project at ACL 2019 – DELTA, a DEep Learning based language Technology plAtform (https://github.com/didi/delta). It aims to provide an end-to-end solution for training, deploying, and developing natural language processing and speech models for both academia and industry use cases.

DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users. It helps AI developers to quickly build models and easily deploy to production, featuring:

  • Easy-to-use
    • One command to train NLP and speech models, including:
      • NLP: text classification, named entity recognition, question and answering, text summarization, etc
      • Speech: speech recognition, speaker verification, emotion recognition, etc
    • Use configuration files to easily tune parameters and network structures
  • Easy-to-deploy
    • What you see in training is what you get in serving: all data processing and features extraction are integrated into a model graph
    • Uniform I/O interfaces and no changes for new models
  • Easy-to-develop
    • Easily build state-of-the-art models using modularized components
    • All modules are reliable and fully-tested

For more details, check out: https://github.com/didi/delta. Thank you!

submitted by /u/hankun11
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.