21 Lessons, Get Started Building with Generative AI

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

12 Weeks, 24 Lessons, AI for All!

10 Weeks, 20 Lessons, Data Science for All!

Anthropic's Interactive Prompt Engineering Tutorial

12 Weeks, 24 Lessons, IoT for All!

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

Tutorials and content created by Earth Engine users, for Earth Engine users

Course materials for: Geospatial Data Science

Code and instructions for making topographic maps of planets and moons

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

Render Blender 4.x scenes with Google Colaboratory

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifying polygons for more accurate analysis.

📘 🌍 A broad collection of GIS related tutorials

Code and instructions for making an animated map of Earth

Global Ensemble Digital Terrain modeling and parametrization at 30~m resolution (GEDTM30)

Code, data, and instructions for mapping the geology of the moon

Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data

This repository contains the classification module of the WorldCereal system.

This repo contain the most common tools used in geospatial analysis using python!

A Colab notebook for land cover mapping and monitoring using Earth Engine

Repository for hosting materials for my 30 Day Map Challenge (2023) Journey!

Python scripts and Jupyter notebooks for WaPOR MOOCs, 'Introduction to WaPORv3' and 'Python for geospatial analyses using WaPOR data'

This tutorial demonstrates how to extract streams and watersheds from high resolution digital elevation models

Source code and Jupyterbook configuration for the Geospatial Python Tutorials website by Spatial Thoughts.