Skip to content

PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.

License

Notifications You must be signed in to change notification settings

earthpulse/pytorchEO

Repository files navigation

Pytorch EO

Deep Learning for Earth Observation applications and research.

Installation

pip install pytorch-eo

Examples

Learn by doing with our examples.

Tutorials

Learn how to build with Pytorch EO with our tutorials.

Challenges

PytorchEO has been used in the following challenges:

  • EUROAVIA Mission: European Students Space Hackathon, 2021.
  • On Cloud N: Cloud Cover Detection Challenge (DrivenData, 2021).
  • Solar Panel Detection: Solar Panel Detection Using Sentinel-2 (Solafune, 2023).

Contributing

Read the CONTRIBUTING guide.

About

PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.

Resources

License

Stars

Watchers

Forks

Packages

No packages published