Skip to content

Randomless/FY4A-TC-Benchmark

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FY4A-TC-Benchmark

This is a benchmark dataset for TC intensity estiomation

MT-GN: Multi-task Learning based Graph Residual Network for Tropical Cyclone Intensity Estimation

Project Page

Installation

Install with conda:

conda env create -f environment.yaml
conda activate py310

or pip:

pip install -r requirements.txt

Train

Prepare datasets

Start training

  • Start training by executing:
sh ./scripts/train.sh  

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published