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Awesome List
Long list of geospatial tools and resources
GitHub stars and default-branch commits for sacridini/Awesome-Geospatial.
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Techniques for deep learning with satellite & aerial imagery
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
An open source library and framework for deep learning on satellite and aerial imagery.
Earth observation processing framework for machine learning in Python
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Processing and gridding spatial data, machine-learning style
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
Geospatial Raster support for Spark DataFrames
Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.
Rapid satellite imagery object detection
A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.
Kriging | Poisson Kriging | Variogram Analysis
SegNet-like network implemented in TensorFlow to use for segmenting aerial images
UAV related Remote Sensing Toolbox
Measured Agent Skills for geospatial AI — 18 skills that stop when the data cannot support the claim. Routing benchmark, held-out split, and known defects published.
A Unified Framework for Random Forest Prediction Error Estimation
Modular Framework for ML Inference on Geospatial Data
SamGIS can do machine learning-based (Segment Anything by Meta - Facebook) image segmentation tasks applied to GIS and geo data