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  • Korea University
  • 145 Anam-ro, Seongbuk-gu, Seoul, South Korea
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ChanLumerico/README.md


✨ Tech Stack ✨

Β  Β  Β  Β  Β 

πŸ“š Studying πŸ“š

Β  Β  Β 

πŸ›  Tools πŸ› 

Β  Β  Β 
Β  Β  Β 

🌐 Environments 🌐

Β  Β  Β 
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πŸ“« Contact πŸ“«


πŸ“‚ Projects πŸ“‚

Project Description Tech / Focus Framework
⭐️ lucid Educational deep learning framework built from scratch with Python, featuring autodiff and modular design. Deep Learning · Autodiff · Framework Design NumPy, MLX
attention_unet_lucid Implementation of Attention U-Net for image segmentation using the Lucid framework. Computer Vision Β· Segmentation Β· U-Net Lucid
ncsn Noise Conditional Score Network implementation for score-based generative modeling. Diffusion Β· Generative Models Β· Score Matching PyTorch

πŸ“Š Other Stats πŸ“Š

Β  Β 

⏰ WakaTime Stats ⏰

I'm a Night πŸ¦‰

🌞 Morning                7 commits           β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   03.29 % 
πŸŒ† Daytime                58 commits          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   27.23 % 
πŸŒƒ Evening                97 commits          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   45.54 % 
πŸŒ™ Night                  51 commits          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   23.94 % 

πŸ“… I'm Most Productive on Tuesday

Monday                   14 commits          β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   06.57 % 
Tuesday                  49 commits          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   23.00 % 
Wednesday                35 commits          β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   16.43 % 
Thursday                 16 commits          β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   07.51 % 
Friday                   31 commits          β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   14.55 % 
Saturday                 45 commits          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   21.13 % 
Sunday                   23 commits          β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   10.80 % 

πŸ“Š This Week I Spent My Time On

πŸ•‘οΈŽ Time Zone: Asia/Seoul

πŸ’¬ Programming Languages: 
Other                    30 hrs 45 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   43.64 % 
Python                   21 hrs 56 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   31.13 % 
Markdown                 12 hrs 42 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   18.04 % 
TypeScript               1 hr 49 mins        β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   02.59 % 
YAML                     45 mins             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.08 % 

πŸ”₯ Editors: 
Notion                   43 hrs 18 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   61.47 % 
VS Code                  23 hrs 47 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   33.75 % 
Claude Code              2 hrs 47 mins       β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   03.97 % 
Terminal                 34 mins             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.81 % 

πŸ±β€πŸ’» Projects: 
lucid                    34 hrs 44 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   49.30 % 
exaone_yaho              34 hrs 20 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   48.73 % 
tmp                      52 mins             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.25 % 
avlref                   21 mins             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.51 % 
assignment07             5 mins              β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.13 % 

πŸ’» Operating System: 
Mac                      70 hrs 27 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   100.00 % 

Last Updated on 13/06/2026 13:00:50 UTC

Pinned Loading

  1. lucid lucid Public

    Lumerico's Comprehensive Interface for Deep Learning

    Python 3 1

  2. attention_unet_lucid attention_unet_lucid Public

    Training Kvasir-SEG Dataset on Attention U-Net(Oktay et al., 2018) with Lucid Framework

    Jupyter Notebook 1

  3. exaone-yaho exaone-yaho Public

    A Korean "gyaru" persona alignment of LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct, fine-tuned with LoRA + a custom MLX ORPO stage on a teacher-distilled persona corpus.

    Python 2