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Hi 👋, I am Ayhan 🐼

I am second-year Computer Science and Electrical Engineering student at KAIST (Korea Advanced Institute of Science and Technology) 🇰🇷.

My current research is focused on deep graph learning and transformers.

Programming Skills

Frameworks

Tools

How to reach me:

https://www.linkedin.com/in/ayhansuleymanzade/

Ayhan Suleymanzade's Projects

bark icon bark

🔊 Text-Prompted Generative Audio Model

bottom-up-attention icon bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

chept-2 icon chept-2

Second iteration of the ChePT Neural Chess Engine. ChePT is a deep neural transformer based chess engine that not only plays moves learned from observing millions of high-level chess games, but presents cogent multilingual commentary describing the current game state, and intuition behind move choices.

lps icon lps

[NeurIPS'23] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

yolov7 icon yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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