Search

PythonReactSEOPDF
GitHub Skill

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.

Ming-Kai-LC☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill 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.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!