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  • Korea University
  • 145 Anam-ro, Seongbuk-gu, Seoul, South Korea
  • 09:01 (UTC +09:00)
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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                6 commits           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–‘   01.70 % 
πŸŒ† Daytime                91 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–‘   25.78 % 
πŸŒƒ Evening                130 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   36.83 % 
πŸŒ™ Night                  126 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   35.69 % 

πŸ“… I'm Most Productive on Friday

Monday                   12 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–‘   03.40 % 
Tuesday                  43 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–‘   12.18 % 
Wednesday                38 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–‘   10.76 % 
Thursday                 12 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–‘   03.40 % 
Friday                   98 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–‘   27.76 % 
Saturday                 87 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–‘   24.65 % 
Sunday                   63 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–‘   17.85 % 

πŸ“Š This Week I Spent My Time On

πŸ•‘οΈŽ Time Zone: Asia/Seoul

πŸ’¬ Programming Languages: 
Other                    18 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–‘β–‘β–‘   87.19 % 
Python                   1 hr 40 mins        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–‘   07.94 % 
C++                      46 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–‘   03.64 % 
Markdown                 14 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–‘   01.14 % 
Objective-C++            1 min               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–‘   00.09 % 

πŸ”₯ Editors: 
Notion                   18 hrs 14 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘   86.12 % 
Claude Code              2 hrs 41 mins       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–‘   12.71 % 
Zoom                     13 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 % 
VS Code                  0 secs              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–‘   00.08 % 
Notes                    0 secs              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–‘   00.01 % 

πŸ±β€πŸ’» Projects: 
lucid                    18 hrs 44 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘   88.51 % 
paper review             1 hr 51 mins        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–‘   08.74 % 
chanlee                  33 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–‘   02.60 % 
scratchpad               1 min               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–‘   00.12 % 
Unknown Project          0 secs              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–‘   00.02 % 

πŸ’» Operating System: 
Mac                      21 hrs 10 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 25/07/2026 14:06:01 UTC

Pinned Loading

  1. lucid lucid Public

    Lumerico's Comprehensive Interface for Deep Learning

    Python 3 2

  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