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README.md

Radiant MLHub Tutorials

Binder

This repository contains introductions and Jupyter Notebook examples on how to access Radiant MLHub API.

You can start by reading the introductory guide, or jump into using the Jupyter Notebook examples and interact with the API.

Run on Binder

You can run the Jupyter Notebook examples using Binder by clicking on the "launch binder" badge above or this link. The Binder environment will automatically install any dependencies required by the notebooks.

Note that the examples involving downloading assets will download those assets to the remote Binder environment and not to your local file system. To download these assets locally you must run the notebooks locally (see next section).

Run Locally

To run the notebooks locally:

  1. Create & activate a virtual environment of your choice

  2. Install dependencies:

    pip install -r requirements_dev.txt
  3. Run Jupyter Notebook server:

    # Example notebooks are in the notebooks/ directory
    jupyter notebook notebooks/

Documentation

You can access the full documentation of Radiant MLHub API here.

Contribute

If you find these guides useful and would like to contribute, make a pull request or send us an email at ml@radiant.earth.

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Tutorials to access Radiant MLHub Training Datasets

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