Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
☆305Sep 14, 2026Updated this week
Alternatives and similar repositories for graph_weather
Users that are interested in graph_weather are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A benchmark for the next generation of data-driven global weather models.☆637Sep 10, 2026Updated last week
- Run AI-based weather forecasting models with ECMWF data☆592Aug 6, 2026Updated last month
- Source code for ClimateLearn☆354Mar 16, 2024Updated 2 years ago
- A benchmark dataset for data-driven weather forecasting☆838Dec 8, 2023Updated 2 years ago
- Research Software for Neural Weather Prediction for Limited Area Modeling☆294Updated this week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Initial public release of code for KARINA☆13Oct 2, 2024Updated last year
- Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch☆242Nov 16, 2023Updated 2 years ago
- Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI mod…☆257Jan 28, 2026Updated 7 months ago
- Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.☆503Updated this week
- Initial public release of code, data, and model weights for FourCastNet☆700Oct 2, 2023Updated 2 years ago
- Hybrid ML + physics model of the Earth's atmosphere☆1,018Sep 9, 2026Updated last week
- A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)☆377Jun 23, 2025Updated last year
- OCF's DataPipe based dataloader for training and inference☆15Jun 2, 2025Updated last year
- PyTorch Implementation of Google Research's MetNet and MetNet-2☆305Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [NeurIPS'24] Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling☆172Feb 4, 2025Updated last year
- An implementation of "metnet3" in Pytorch☆40Aug 29, 2026Updated 3 weeks ago
- ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast☆28Mar 17, 2026Updated 6 months ago
- ☆54Feb 28, 2026Updated 6 months ago
- Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954☆297Updated this week
- NeuralGCM's differentiable dycore☆336Sep 8, 2026Updated last week
- Run AI NWP forecasts hassle-free, serverless in the cloud!☆119Mar 26, 2024Updated 2 years ago
- ☆50Dec 19, 2024Updated last year
- [IJCAI'25] Code for the paper "CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification".☆12Jan 24, 2026Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆26Mar 10, 2024Updated 2 years ago
- ☆52Mar 13, 2025Updated last year
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆48Apr 2, 2025Updated last year
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆129Mar 18, 2025Updated last year
- Official implementation of Earthformer☆469Jul 16, 2023Updated 3 years ago
- Microservice for consuming NWP data.☆17Sep 8, 2026Updated last week
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆98Updated this week
- Foundation model for weather & climate☆708Sep 30, 2023Updated 2 years ago
- ☆86Mar 17, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An official implementation of Pangu-Weather☆1,396Jan 12, 2024Updated 2 years ago
- Implement code of paper "DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling"☆45May 2, 2024Updated 2 years ago
- ☆55Jan 9, 2025Updated last year
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆90Mar 24, 2023Updated 3 years ago
- Massively parallel training of machine-learning based weather and climate models☆400Updated this week
- Metrics for verifying forecasts☆243Updated this week
- ☆67Jul 8, 2026Updated 2 months ago