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.

Free Data Engineering course!

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Free MLOps course from DataTalks.Club

Learn ML engineering for free in 4 months!

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

A small package to create visualizations of PyTorch execution graphs

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Deep Learning Illustrated (2020)

Global shoreline mapping tool from satellite imagery

Course materials for: Geospatial Data Science

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry

Earth observation tools for Meta AI Segment Anything

Examples of using the Planetary Computer

Inpaint images with ControlNet

Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

Image segmentations of trees outside forest

Atmospheric correction of a (single) Sentinel 2 image

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

A comprehensive list of NASA Earth science data products

Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts

Application of deep learning for earth observation.

Deep learning courses and projects

Workshop materials for the Writing an efficient code for GeoPandas and Shapely in 2023