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 collection of research papers on Diffusion Models for Weather Forecasting.☆177Updated last month
- ☆14Updated last year
- Latent diffusion for generative precipitation nowcasting☆134Updated 2 years ago
- Implement code of paper "DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling"☆42Updated last year
- A cascade machine learning forecasting system for 15-day global weather forecast☆139Updated last year
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆184Updated 8 months ago
- [NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"☆131Updated 11 months ago
- This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal C…☆92Updated 11 months ago
- A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)☆293Updated 2 months ago
- A list of Precipitation Nowcasting papers and related resources.☆166Updated 8 months ago
- ☆140Updated 7 months ago
- ☆45Updated 10 months ago
- [CVPR 2024] Official implementation of "DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting"☆94Updated 8 months ago
- CirT: Global Subseaonal-To-Seasonal Forecasting with Geometry-inspired Transformer☆14Updated 6 months ago
- ☆12Updated last year
- A comprehesive survey about foundation models for weather and cliamte data understanding.☆250Updated 7 months ago
- Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extre…☆14Updated last year
- Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954☆260Updated last week
- Official implementation of Earthformer☆409Updated 2 years ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆101Updated 5 months ago
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆79Updated 4 months ago
- ☆42Updated 5 months ago
- PyTorch Implementation of Google Research's MetNet and MetNet-2☆271Updated last week
- ☆24Updated last year
- Initial public release of code for KARINA☆12Updated 11 months ago
- A physics-constrained stochastic sky video prediction model for probabilistic short-term solar forecasting☆42Updated last year
- [ECCV 2024] Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model☆33Updated 9 months ago
- ☆21Updated last year
- ☆45Updated 3 weeks ago
- Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph …☆257Updated this week