earthpulse / pytorch_eo

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

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Pytorch EO

Deep Learning for Earth Observation applications and research.

🚧 This project is in early development, so bugs and breaking changes are expected until we reach a stable version.

Installation

pip install pytorch-eo

Examples

Learn by doing with our examples.

Ready to use Datasets

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).

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.

License:MIT License


Languages

Language:Jupyter Notebook 98.1%Language:Python 1.9%