Simon Proud's starred repositories
resume.github.com
Resumes generated using the GitHub informations
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
techniques
Techniques for deep learning with satellite & aerial imagery
GeoTorchAI
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
pyresample
Geospatial image resampling in Python
python-data-viz-workshop
A workshop on data visualization in Python with notebooks and exercises for following along.
ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
hydra-floods
HYDrologic Remote sensing Analysis for Floods Python package
planesnet-detector
Detect airplanes in Planet imagery using machine learning
FlyingClimate
What goes up must come down again.
satellite-labelling-tool
Satellite labelling tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.
atrain_match
Matching A-train Calipso/Cloudsat products with AVHRR/VIIRS/MODIS readiances and products
satellite-dataloader
Support routines to load satellite data into various formats.