https://github.com/opengeos/earthformer

A Python package for Earth forecasting transformer
https://github.com/opengeos/earthformer

deep-learning earthformer forecasting geospatial transformer

Last synced: 12 months ago
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A Python package for Earth forecasting transformer

• Host: GitHub
• URL: https://github.com/opengeos/earthformer
• Owner: opengeos
• License: apache-2.0
• Created: 2023-07-31T03:43:53.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-07-20T00:45:47.000Z (almost 2 years ago)
• Last Synced: 2025-04-11T14:56:17.612Z (about 1 year ago)
• Topics: deep-learning, earthformer, forecasting, geospatial, transformer
• Language: Python
• Homepage: https://open.gishub.org/earthformer
• Size: 1.89 MB
• Stars: 83
• Watchers: 6
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/contributing.md
  • License: LICENSE

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README

          
# Earthformer

[![image](https://img.shields.io/pypi/v/earthformer.svg)](https://pypi.python.org/pypi/earthformer)

[![image](https://img.shields.io/conda/vn/conda-forge/earthformer.svg)](https://anaconda.org/conda-forge/earthformer)

[![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/earthformer/blob/main/docs/examples/earthnet2021.ipynb)

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/earthformer/blob/main/docs/examples/earthnet2021.ipynb)

**A Python package for Earth forecasting transformer**

-   Free software: Apache License, Version 2.0 (Apache-2.0)

-   Documentation: 

## Introduction

This repository turns the [amazon-science/earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer) repository into a Python package, making it easier to install and use. To learn more about Earthformer, please refer to the NeurIPS 2022 paper: [Earthformer: Exploring Space-Time Transformers for Earth System Forecasting](https://www.amazon.science/publications/earthformer-exploring-space-time-transformers-for-earth-system-forecasting). Credits to the authors and their [repository](https://github.com/amazon-science/earth-forecasting-transformer) for the original implementation.

## Installation

The `earthformer` package is available on [PyPI](https://pypi.org/project/earthformer). To install it, run:

```bash

pip install earthformer

```

The `earthformer` package is also available on [conda-forge](https://anaconda.org/conda-forge/earthformer). To install it, run:

```bash

conda create -n earthformer python=3.10

conda activate earthformer

conda install -c conda-forge mamba

mamba install -c conda-forge earthformer

```

## Disclaimer

I am not the author of the original implementation. This repository is a Python package that wraps the original implementation into a package. If you have any questions about the original implementation, please refer to the [amazon-science/earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer). The original implementation is licensed under the Apache License, Version 2.0.