crossvit-covid19-fyp
CommunityCrossViT FYP: End-to-end COVID-19 X-ray.
AuthorMing-Kai-LC
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a complete context for TAR UMT Data Science FYP implementing CrossViT for COVID-19 chest X-ray classification. It includes dataset specs, model architecture details, hardware constraints, preprocessing, baselines, evaluation metrics, hypotheses, and coding guidelines for reproducible research.
Core Features & Use Cases
- Dataset specs (Rahman COVID dataset)
- CrossViT-Tiny architecture details and training setup
- Baseline models for comparison
- Reproducibility and statistical validation guidelines
- Coding guidelines for reproducible research
Quick Start
Follow the dataset and model setup to initiate CrossViT training for COVID-19 X-ray classification; ensure hardware constraints are met.
Dependency Matrix
Required Modules
opencv-pythonnumpytqdmtorch
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: crossvit-covid19-fyp Download link: https://github.com/Ming-Kai-LC/fyp-project/archive/main.zip#crossvit-covid19-fyp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.