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😁 Machine Learning Engineer

  • Hello. This is Do-yeon Yoon, who likes math and studies AI. I mainly studied combinatorics in mathematics, and I studied anti-bandwidth on graph structures. Recently, I am interested in various domains such as GNN and Korean NLP, and I understand the key considerations of those domains. I am studying with the next goal of achieving results through the combination of graph theory and deep learning. Thanks!

πŸš€ Interests

  • ML / DL : NLP, LLM, MLOps, RecSys
  • MATH : Graph Theory, Partially Ordered SET

πŸ’» Skills :

  • Python Pytorch Docker Streamlit
  • ETC : Langchain, Huggingface

πŸ“¬ About me

  • Tech Blog Badge Linkedin Badge Gmail Badge Tech Blog Badge

github stats

DoyeonYoon's Projects

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

phm_study icon phm_study

Semiconductor data practice for Samsung Electronics

pr12 icon pr12

Youtube Deep Learning Presentation

productive-box icon productive-box

Are you an early 🐀 or a night πŸ¦‰? Let's check out in gist

randwire_tensorflow icon randwire_tensorflow

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

randwirenn icon randwirenn

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

saint_plus-knowledge-tracing- icon saint_plus-knowledge-tracing-

Implementation of [SAINT+: Integrating Temporal Features for EdNet Correctness Prediction](https://arxiv.org/abs/2010.12042)

senticle-proj icon senticle-proj

λ‰΄μŠ€ 데이터λ₯Ό ν™œμš©ν•œ κΈ°μ—… λ§žμΆ€ν˜• μ£Όκ°€ 예츑 ν”„λ‘œμ νŠΈ

smart-home icon smart-home

sensor data processing and classification building

tensorflowlecture icon tensorflowlecture

To make those tutorials, I referred to several tutorials including open courses, YouTube, and Books.

transformer-evolution icon transformer-evolution

Transformer 이후 λ‚˜μ˜¨ Pretrained Language Model을 κ°„λ‹¨ν•˜κ²Œ κ΅¬ν˜„ν•˜μ˜€μŒ.

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