https://github.com/holoviz-topics/EarthML

Tools for working with machine learning in earth science
https://github.com/holoviz-topics/EarthML

Last synced: 3 months ago
JSON representation

Tools for working with machine learning in earth science

• Host: GitHub
• URL: https://github.com/holoviz-topics/EarthML
• Owner: holoviz-topics
• License: bsd-3-clause
• Archived: true
• Created: 2018-04-20T13:41:14.000Z (over 6 years ago)
• Default Branch: main
• Last Pushed: 2024-03-18T14:47:57.000Z (8 months ago)
• Last Synced: 2024-07-07T12:32:49.339Z (4 months ago)
• Language: Python
• Homepage: https://earthml.holoviz.org
• Size: 76.9 MB
• Stars: 94
• Watchers: 14
• Forks: 21
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

• Awesome-Earth-Artificial-Intelligence - EarthML
• open-sustainable-technology - EarthML - Improving, documenting, and illustrating how to use other, freely available, general-purpose open source projects to solve problems in the earth sciences. (Natural Resources / Soil and Land)

README

        
> # ⚠️ IMPORTANT NOTICE ⚠️


> This site is ARCHIVED and will NO LONGER BE UPDATED.


> For updated Tutorial material, please visit the Pythia landsat-ml cookbook.


> For Topic Examples, head over to the HoloViz Examples website.

# EarthML

**Machine learning and visualization in Python for Earth science**

EarthML is a "meta-project" with the aim of improving, documenting,

and illustrating how to use other, freely available, general-purpose

open source projects to solve problems in the earth sciences.  See the

[EarthML website](http://earthml.pyviz.org) for more details,

including installation instructions, an extensive tutorial, and

various sample projects like:





  

    

  

    

  

    

  

    





Please feel free to 

[report issues](https://github.com/pyviz-topics/EarthML/issues) or 

[contribute examples or corrections](https://github.com/pyviz-topics/EarthML/).