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adaptive-attention

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FPGA implementation of Tiny Transformer with dynamic adaptive attention for ECG arrhythmia classification. Introduced is features learnable head gating mechanism that adaptively selecta attention heads. Targeted FPGA board is Xilinx Kria KV260 and development was done in Vitis HLS and deployment through PYNQ Overlays.

  • Updated Jun 13, 2026
  • Jupyter Notebook

Created in furtherance of my master's thesis in Computer Science. Links to be provided upon publication. Based off of PanDerm and SkinEHDLF models.

  • Updated May 22, 2026
  • Python

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