Skip to content

NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

License

Notifications You must be signed in to change notification settings

tnmurthy/nlp-architect

Repository files navigation

AI NLP Architect

The Intel® AI NLP Architect is a repository for models exploring the state of the art deep learning techniques for natural language processing. It is intended to be a space to promote research and collaboration.

Because of its exploratory nature, several open source deep learning frameworks are used in this repository including:

Each of the models includes algorithm descriptions, installation requirements, and results. Overtime the list of models included in this space will grow. The library is separated into core module components, models, and solutions. Each of the modules, models, and solution contains its own set of python requirements, though all generally run with Python 3.5+.

Documentation

Framework documentation, algorithm description and instructions on how to contribute a new agent/environment can be found here.

Installation

Please see the individual modules, models, and solutions for installation instructions. An overall installation process will be coming soon.

Disclaimer

The NLP Architect is released as a reference code for research purposes. It is not an official Intel product, and the level of quality and support may not be as expected from an official product. Additional algorithms and environments are planned to be added to the framework. Feedback and contributions from the open source and NLP research communities are more than welcome.

About

NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 81.2%
  • Perl 11.9%
  • JavaScript 4.2%
  • Makefile 0.9%
  • HTML 0.8%
  • CSS 0.5%
  • Shell 0.5%