sfsun67 / GraphCast-from-Ground-ZeroLinks
[2023]Run GraphCast in one click. The code will automatically install and run the model environment, automatically inferencing and demonstrating how to train the model.(DOI: 10.1126/science.adi2336; https://github.com/google-deepmind/graphcast) . Which with AutoDL (Or else your own environments). 一键运行 GraphCast，代码将自动执行模型的环境安装和运行，自动推理并演示如何训练模型。
☆30Updated last year
Alternatives and similar repositories for GraphCast-from-Ground-Zero
Users that are interested in GraphCast-from-Ground-Zero are comparing it to the libraries listed below
Sorting:
- A cascade machine learning forecasting system for 15-day global weather forecast☆158Updated 2 years ago
- CirT: Global Subseaonal-To-Seasonal Forecasting with Geometry-inspired Transformer☆18Updated 11 months ago
- ☆15Updated 2 years ago
- Latent diffusion for generative precipitation nowcasting☆140Updated 2 years ago
- A collection of research papers on Diffusion Models for Weather Forecasting.☆230Updated 6 months ago
- ☆158Updated last month
- Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark☆86Updated 2 weeks ago
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆190Updated last year
- A list of Precipitation Nowcasting papers and related resources.☆177Updated last year
- ☆15Updated last year
- [ICLR 2025] Continuous Ensemble Weather Forecasting with Diffusion models☆35Updated 7 months ago
- This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal C…☆94Updated last year
- ☆49Updated 6 months ago
- Implement code of paper "DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling"☆43Updated last year
- [NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"☆148Updated 3 months ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆118Updated 10 months ago
- ☆47Updated 10 months ago
- PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"☆19Updated last year
- ☆59Updated last year
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆94Updated 9 months ago
- A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)☆335Updated 7 months ago
- [CVPR 2024] Official implementation of "DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting"☆116Updated 4 months ago
- Official implementation of Earthformer☆436Updated 2 years ago
- ☆20Updated last year
- A physics-constrained stochastic sky video prediction model for probabilistic short-term solar forecasting☆61Updated last year
- Curated papers on survey paper "deep learning and foundation models for weather prediction".☆53Updated 2 weeks ago
- Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph …☆283Updated 2 weeks ago
- Integrating Large Weather Models with Data Assimilation☆22Updated last year
- Latent Diffusion model for ensemble weather forecasting☆24Updated 8 months ago
- The official code for the paper HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting☆21Updated 9 months ago