Credits

  • Original implementation and research by DreamQuark team

  • Maintained and improved by Daniel Avdar and contributors

  • Inspired by the paper: Arik, S. O., & Pfister, T. (2019). TabNet: Attentive Interpretable Tabular Learning. arXiv:1908.07442

  • Thanks to all open-source contributors and users

Original Repository