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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
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
GeoAI: Artificial Intelligence for Geospatial Data
An open source library and framework for deep learning on satellite and aerial imagery.
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Data Preparation for Satellite Machine Learning
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
tsl: a PyTorch library for processing spatiotemporal data.
Rapid satellite imagery object detection
A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.
Deep learning with otb (mirror of https://forgemia.inra.fr/orfeo-toolbox/otbtf)
Deep learning for medical images in R: semantic and instance segmentation, object detection, 2D and 3D, DICOM and NIfTI, one specification.
Super Resolution for Satellite Imagery
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
A lightweight, GDAL-free Python package for reading, writing, resampling, and masking GeoTIFF raster files using Numpy.
Modular Framework for ML Inference on Geospatial Data