Code studies conducted during my undergraduate internship at the AI-MED Lab.
This repository contains code study implementations (directly based on original implementation) of various deep learning models related to computational pathology, spatial transcriptomics, and representation learning.
The main goal of this repository is:
- To deeply understand existing research papers
- To reproduce model architectures from original implementations
- To build intuition by reading, rewriting, and annotating code
All codes in this repository follow a consistent philosophy:
- The code is directly based on official implementations or papers.
- I typed out and studied the code from the original implementation.
- I added detailed comments to understand architecture design and training logic.
This repository is for study purposes only.
The implementations may not be:
- fully optimized,
- production-ready,
- perfectly faithful in every detail.
If you are looking for official implementations, please refer to the original sources.