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
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
Blender addons to make the bridge between Blender and geographic data
Python Data. Leaflet.js Maps.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Python tools for geographic data
Geocoding library for Python.
:satellite: All You Need to Know About Deep Learning - A kick-starter
Open Source search based on OpenStreetMap data
Open-source SEO, GEO, and marketing skills for AI agents.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Python library for loading and using triangular meshes.
StellarGraph - Machine Learning on Graphs
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Rasterio reads and writes geospatial raster datasets
An open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Cartopy - a cartographic python library with matplotlib support
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
Train a deep learning net with OpenStreetMap features and satellite imagery.