GISCheng/global_local

Codes for a published work "Global or local modeling for XGBoost in geospatial studies upon simulated data and German COVID-19 infection forecasting"

/ 100

Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 2 / 25

Maturity 7 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Jul 03, 2025

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/GISCheng/global_local"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

lisphilar/covid19-sir

CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

iiscleap/Coswara-Data

Data repository of Project Coswara

CSSEGISandData/COVID-19_Unified-Dataset

Unified COVID-19 Dataset

hollobit/COVID-19-AI

Collection of AI resources to fight against Coronavirus (COVID-19)

madhurimarawat/Predictioneer

Predictive modeling for Ebola outbreaks to forecast cases, deaths, and fatality ratios using...