Skip to main content

Acknowledgments

We extend our gratitude to the following individuals and organizations whose contributions and resources made this project possible:

Resources and Tools​

  • Hugging Face: For providing pre-trained models and an exceptional platform for NLP research and development.
  • Transformers Library: A cornerstone for integrating state-of-the-art machine learning models.
  • PyTorch: For powering the training and inference of machine learning models.

Inspiration​

  • bert-finetuned-phishing by ealvaradob: A foundational model for phishing detection.
  • phishing-email-detection-distilbert_v2.4.1 by cybersectony: A state-of-the-art model for detecting phishing in emails.

Contributors​

A special thanks to everyone who contributed to the development of this framework:

  • cmacha2: For leading the development and open-sourcing this library.
  • Community members and testers who provided valuable feedback during the early development stages.

Open-Source Community​

We appreciate the efforts of the open-source community in creating tools and libraries that have paved the way for this project.

Let’s continue to build and improve together for a safer internet! 🚀