crossvit-covid19-fyp
Complete context for TAR UMT Data Science FYP implementing CrossViT for COVID-19 chest X-ray classification. Use when working on Jupyter notebooks, code implementation, data analysis, model training, or any task related to Tan Ming Kai's final year project. This skill provides dataset specs, model architecture details, hardware constraints (NVIDIA RTX 6000 Ada Generation (51GB VRAM) VRAM), preprocessing parameters, baseline models, evaluation metrics, hypotheses, and coding guidelines for reproducible research following TAR UMT academic requirements.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Complete context for TAR UMT Data Science FYP implementing CrossViT for COVID-19 chest X-ray classification. Use when working on Jupyter notebooks, code implementation, data analysis, model training, or any task related to Tan Ming Kai's final year project. This skill provides dataset specs, model architecture details, hardware constraints (NVIDIA RTX 6000 Ada Generation (51GB VRAM) VRAM), preprocessing parameters, baseline models, evaluation metrics, hypotheses, and coding guidelines for reproducible research following TAR UMT academic requirements.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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