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YoungWoo Nam

AI Researcher

I-BRICKS

๐ŸŽ“ Education

  • Graduated with a Bachelor's degree at Dept. of Electronics Engineering, from Incheon National University (March 2017 ~ March 2021)
  • Graduated with a Master's degree at Dept. of Digital Healthcare, from Sungkyunkwan University (March 2021 ~ March 2023)

Research Topic

LLM, ASR, TTS

Skills

  • Natural Language: Korean (Native); English (TEPS-347); Japanese (JLPT-N2)
  • Programming Language: Python; SQL; MATLAB; C;
  • Typesetting Language: Markdown; LaTeX;
  • Programming Framework: PyTorch; TensorFlow

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Young Woo Nam's Projects

illustration2vec icon illustration2vec

A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.

imgaug icon imgaug

Image augmentation for machine learning experiments.

koalpaca icon koalpaca

KoAlpaca: ํ•œ๊ตญ์–ด ๋ช…๋ น์–ด๋ฅผ ์ดํ•ดํ•˜๋Š” ์˜คํ”ˆ์†Œ์Šค ์–ธ์–ด๋ชจ๋ธ

lip_jppnet icon lip_jppnet

Code repository for Joint Body Parsing & Pose Estimation Network, T-PAMI 2018

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

opencv icon opencv

Open Source Computer Vision Library

smop icon smop

Small Matlab to Python compiler

stargan-v2 icon stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

tag2pix icon tag2pix

[ICCV 2019] Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss

tensorflow-2.x-tutorials icon tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0็‰ˆๅ…ฅ้—จๅฎžไพ‹ไปฃ็ ๏ผŒๅฎžๆˆ˜ๆ•™็จ‹ใ€‚

tf-wgan icon tf-wgan

Wasserstein DCGAN in Tensorflow/Keras

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