Graph Neural Network Library for PyTorch
- pytorch
- geometric-deep-learning
- graph-neural-networks
- deep-learning
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Graph Neural Network Library for PyTorch
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Blender addons to make the bridge between Blender and geographic data
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Python tools for geographic data
StellarGraph - Machine Learning on Graphs
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Cartopy - a cartographic python library with matplotlib support
Fiona reads and writes geographic data files
Python package for graph neural networks in chemistry and biology
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
The Geospatial Neighborhood Analysis Package
peartree: A library for converting transit data into a directed graph for sketch network analysis.
Algeria's 69 wilayas, 538 dairas and 1,541 communes with Arabic/French search and historical administrative boundaries. Python and TypeScript libraries.
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.