Austin-Gabriel/AAAI_Conference_GIS_ViT_CNN

A novel knowledge-guided machine learning (KGML) framework where Geographic Information Systems (GIS) and Remote Sensing (RS) provide structured knowledge guidance to enhance deep learning models for power plant detection.

11
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 3 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

3

Forks

—

Language

Jupyter Notebook

License

—

Category

geospatial-ml-tools

Last pushed

Nov 25, 2024

Commits (30d)

0

GitHub
Geospatial ML Tools · 81 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Austin-Gabriel/AAAI_Conference_GIS_ViT_CNN"

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

Higher-rated alternatives

torchgeo/torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

81

terrastackai/terratorch

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

79

DataverseLabs/pyinterpolate

Kriging | Poisson Kriging | Variogram Analysis

74

OSGeo/grass

GRASS - free and open-source geospatial processing engine

73

sentinel-hub/eo-learn

Earth observation processing framework for machine learning in Python

71

Explore ML Frameworks

All categories Trending ML Framework directory Insights