An open source library and framework for deep learning on satellite and aerial imagery.
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Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package
City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform and computation tool for the design of low-carbon and highly efficient cities.
- python
- urban-design
- urban-analytics
- ubem
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.
- ai-agents
- document-processing
- dspy
- entity-extraction
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
A simple script to generate a single geoJSON shape for each transit route in a GTFS archive.
Script to merge GTFS ZIP archives into one.
- gtfs
- python
- script
- public-transport