Climate & Atmospheric Science Python Toolkit

This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.

机器学习实战项目，主要运用于各个行业中的需求，实现分类、回归预测分析，主要运用：线性回归、逻辑回归、决策树、聚类分析、支持向量机、朴素贝叶斯、主成分分析等算法；

Official source code for paper 《SAF-Net: A Spatio-Temporal Deep Learning Method for Typhoon Intensity Prediction》

with Pangu-weather, FourCastNet v1 v2, GraphCast, and Aurora model

A Machine Learning Approach for Deriving Atmospheric Temperatures from FY-3E MWTS-3 Observations