Welcome to pangolinn documentation

pangolinn is a Python library for neural network developers that contains test suites aimed at finding bugs (if any) in newly-created models. Each test suite is dedicated to test a specific property of an architecture (model), and it does not require pre-trained weights.

Check out the Installation section for further information about how to install the project.

• Github: https://github.com/hlt-mt/pangolinn.git

• PyPi: https://pypi.org/project/pangolinn

API Documentation

Here is the list of the modules currently part of the repository with the corresponding documentation:

• Sequence-to-sequence Package
  • Example Usage
  • API Reference

Credits

If you use this library, please cite:

@inproceedings{papi-et-al-2024-when,
  title={{When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP}},
  author={Papi, Sara and Gaido, Marco and Pilzer, Andrea and Negri, Matteo},
  booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
  address = "Bangkok, Thailand",
  year={2024}
}