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In this work, we shared the source code which are utilized in the study named ODE Transformers for Isolated Sign Language Recognition: A Study on Robustness and Scalability. This code implements skeleton based experiments which reported in the article

  • Updated Aug 24, 2026
  • Python

Outstanding Graduation Project, Eastern Mediterranean University (2025–2026). Real-time Turkish Sign Language (TİD) recognition in the browser: 226 signs (94.4% top-1 on AUTSL), Turkish sentence building and a 3D signing avatar.

  • Updated Oct 19, 2026
  • Python

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