Quick reference guides for Geospatial AI and Foundation Models
---
title: "Cheatsheets"
subtitle: "Quick reference guides for Geospatial AI and Foundation Models"
jupyter: geoai
format:
html:
toc: true
toc-depth: 2
---
## 💻 HPC Installation and setup
- [Setting up HPC Access](extras/grit-hpc-setup.qmd)
## 🌍 Geospatial Data Fundamentals
- [Working with Rasterio](extras/cheatsheets/rasterio_basics.qmd)
- [Earth Engine Basics](extras/cheatsheets/earth_engine_basics.qmd)
- [Xarray for Multi-dimensional Data](extras/cheatsheets/xarray_basics.qmd)
## 🔥 PyTorch for Geospatial AI
- [PyTorch Tensors & GPU Operations](extras/cheatsheets/pytorch_tensors.qmd)
- [TorchGeo Datasets & Transforms](extras/cheatsheets/torchgeo_basics.qmd)
- [Data Loading for Satellite Imagery](extras/cheatsheets/dataloader_satellite.qmd)
## 🤗 Foundation Models & HuggingFace
- [Loading Pre-trained Models](extras/cheatsheets/loading_models.qmd)
- [Model Inference & Feature Extraction](extras/cheatsheets/model_inference.qmd)
- [Fine-tuning Strategies](extras/cheatsheets/finetuning_basics.qmd)
## 📊 Visualization & Analysis
- [Plotting Satellite Imagery](extras/cheatsheets/plotting_satellite.qmd)
- [Interactive Maps with Folium](extras/cheatsheets/folium_basics.qmd)
- [Geospatial Plotting with Matplotlib](extras/cheatsheets/matplotlib_geospatial.qmd)