{"version":"1.0","type":"rich","title":"Document containing install instructions and cool links for the Making Maps with ML workshop!","description":"This workshop document provides installation instructions and data preparation steps for two machine-learning map experiments: image analogies and pix2pix. It shows how to scrape aligned tile datasets from slippy map services using a custom Python scraper, then train models with `neural-image-analogies` and pix2pix, using `rasterio`, `numpy`, and `scikit-image` within Conda environments. The examples include generating stylized map transitions from one Mapbox style to another, with code snippets for setup and execution.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-d294a906161eb983bb5e3263f733e28e?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}