This is used as a subproject for diffusion-models-for-weather-prediction.
This repository contains functions to benchmark the diffusion models developed in diffusion-models-for-weather-prediction. It builds on existing code from WeatherBench.
Installation options will be included in the future.
This repository is part of a ECMWF Code4Earth Project, which takes place between May 1 2023 and September 20 2023.
Script on guidelines for contributions will be added in the future.
State if you are open to contributions and what your requirements are for accepting them.
Participants:
Mentors:
This project contains code from WeatherBench, WeatherBench is licensed under the MIT License. Our changes to the code are licensed under the Apache 2.0 License.
Under active developement.
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
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