Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
Key parameters and specifications
Key parameters and specifications
Parameter
Value
Language
Python
Category
Model Development
Subcategory
Domain-specific training
Keywords
Benchmarks
Stars
639
Forks
78
Contributors
13
Created date
2023-02-24
Updated date
2026-10-14
Stars in 1 day
0
Stars in 7 days
1
Rank
15,694
Previous rank
15,500
Rank change
-194
7-day stars rank
11,075
Previous 7-day stars rank
11,144
7-day stars rank change
69
Total stars rank
15,999
Previous total stars rank
15,977
Total stars rank change
-22
Country
USA
README summary
WeatherBench 2 - A benchmark for the next generation of data-driven global weather models **🚨🚨🚨 WeatherBench-X has been released. It provides an updated version of our evaluation code base. We encourage users to switch to the new codebase. 🚨🚨🚨** arXiv paper Google AI Blog post Why WeatherBench? WeatherBench 2 is a framework for evaluating and comparing data-driven and traditional numerical weather forecasting models. WeatherBench consists of: Publicly available, cloud-optimized ground truth and baseline datasets. See this quick-start to
explore the basic functionality or the API docs for more detail. Since high-resolution forecast files can be large, the WeatherBench 2 code was written with scalability in mind. See the command-line scripts based on Xarray-Beam and this guide for running the scripts on GCP using DataFlow. A website displaying up-to-date scores of many of the state-of-the-art data-driven and physical approaches. A paper describing the rationale behind the evaluation setup. WeatherBench 2
has been built as an evolving tool for the entire community. For this reason, we welcome any feedback (ideally, submitted as GitHub issues) or contributions. If you would like you model to be part of WeatherBench, check out this guide. Citation License This is not an official Google product.
Frequently asked questions
How many stars and forks are recorded?
google-research/weatherbench2 has 639 stars and 78 forks.
What is the repository rank?
google-research/weatherbench2 is ranked 15,694.
What language and category are recorded?
google-research/weatherbench2 has 639 stars, uses Python and belongs to Model Development.
Which repository is closest in rank?
google-research/weatherbench2 is compared with google-deepmind/ai-safety-gridworlds, ranked 15,692 with 639 stars.
README
WeatherBench 2 - A benchmark for the next generation of data-driven global weather models
WeatherBench 2 is a framework for evaluating and comparing data-driven and traditional numerical weather forecasting models. WeatherBench consists of:
Publicly available, cloud-optimized ground truth and baseline datasets. For a complete list, see this page.
Open-source evaluation code. See this quick-start to explore the basic functionality or the API docs for more detail. Since high-resolution forecast files can be large, the WeatherBench 2 code was written with scalability in mind. See the command-line scripts based on Xarray-Beam and this guide for running the scripts on GCP using DataFlow.
A website displaying up-to-date scores of many of the state-of-the-art data-driven and physical approaches.
A paper describing the rationale behind the evaluation setup.
WeatherBench 2 has been built as an evolving tool for the entire community. For this reason, we welcome any feedback (ideally, submitted as GitHub issues) or contributions. If you would like you model to be part of WeatherBench, check out this guide.
Citation
@misc{rasp2023weatherbench,
title={WeatherBench 2: A benchmark for the next generation of data-driven global weather models},
author={Stephan Rasp and Stephan Hoyer and Alexander Merose and Ian Langmore and Peter Battaglia and Tyler Russel and Alvaro Sanchez-Gonzalez and Vivian Yang and Rob Carver and Shreya Agrawal and Matthew Chantry and Zied Ben Bouallegue and Peter Dueben and Carla Bromberg and Jared Sisk and Luke Barrington and Aaron Bell and Fei Sha},
year={2023},
eprint={2308.15560},
archivePrefix={arXiv},
primaryClass={physics.ao-ph}
}
License
This is not an official Google product.
Copyright 2023 Google LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
