Skip to main content

Universal data IO and neural network modules in NLP tasks

Project description

# AntU Universal data IO and neural network modules in NLP tasks.

  • data IO is an universal module in Natural Language Processing system and not based on any framework (like TensorFlow, PyTorch, MXNet, Dynet…).
  • neural network module contains the neural network structures commonly used in NLP tasks. We want to design commonly used structures for each neural network framework. We will continue to develop this module.

# Requirements

  • Python>=3.6
  • bidict==0.17.5
  • numpy==1.15.4
  • numpydoc==0.8.0
  • overrides==1.9
  • pytest==4.0.2

##### If you need dynet neural network:

  • dynet>=2.0

# Installing via pip

`bash pip install antu `

# Resources

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for antu, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size antu-0.0.4-py3-none-any.whl (41.2 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size antu-0.0.4.tar.gz (19.5 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page