Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
☆257Jan 28, 2026Updated 8 months ago
Alternatives and similar repositories for earth2mip
Users that are interested in earth2mip are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Run AI-based weather forecasting models with ECMWF data☆596Aug 6, 2026Updated 2 months ago
- A benchmark for the next generation of data-driven global weather models.☆638Updated this week
- Hybrid ML + physics model of the Earth's atmosphere☆1,020Updated this week
- Initial public release of code, data, and model weights for FourCastNet☆703Oct 2, 2023Updated 3 years ago
- Run AI NWP forecasts hassle-free, serverless in the cloud!☆119Mar 26, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Massively parallel training of machine-learning based weather and climate models☆402Updated this week
- NeuralGCM's differentiable dycore☆337Updated this week
- Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.☆509Oct 6, 2026Updated last week
- Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph …☆305Oct 5, 2026Updated last week
- A generative foundation model for the kilometer-scale atmosphere☆110Oct 3, 2026Updated last week
- Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.☆1,192Updated this week
- Ai2 Climate Emulator: fast machine learning models for weather and climate prediction☆247Updated this week
- Foundation model for weather & climate☆704Sep 30, 2023Updated 3 years ago
- Batch generation from xarray datasets☆195Oct 5, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Simple examples of data pipelines from xarray to ML training☆22Dec 19, 2019Updated 6 years ago
- ☆19Feb 13, 2024Updated 2 years ago
- The official code for "Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Foreca…☆16Oct 23, 2024Updated last year
- GCM Physics written in JAX☆108Updated this week
- ☆54Feb 28, 2026Updated 7 months ago
- ☆50Dec 19, 2024Updated last year
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆49Apr 2, 2025Updated last year
- Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch☆241Nov 16, 2023Updated 2 years ago
- An official implementation of Pangu-Weather☆1,399Jan 12, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆46May 20, 2024Updated 2 years ago
- ☆17Jan 2, 2024Updated 2 years ago
- A modular framework for evaluating weather forecasts☆260Updated this week
- Differentiable signal processing on the sphere for PyTorch☆715Updated this week
- A cascade machine learning forecasting system for 15-day global weather forecast☆193Jun 18, 2026Updated 3 months ago
- ☆75Feb 13, 2024Updated 2 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Dec 2, 2021Updated 4 years ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,338Updated this week
- ☆67Jul 8, 2026Updated 3 months ago
- 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.
- Lazily open petabyte-scale GRIB datasets consisting of trillions of GRIB messages from xarray☆46Mar 31, 2025Updated last year
- Earth Computer Hyperparameter Optimization☆22Jul 28, 2026Updated 2 months ago
- Deep learning models for global weather prediction on a cubed sphere☆96Oct 3, 2020Updated 6 years ago
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆13Aug 18, 2022Updated 4 years ago
- MVP for opening xarray datasets from cloud zarr stores in a single thread with asyncio loops☆23Aug 6, 2023Updated 3 years ago
- Research Software for Neural Weather Prediction for Limited Area Modeling☆300Updated this week
- Building a Zarr data cube using serverless cloud compute☆56Sep 2, 2025Updated last year