INRIA / geoarchesLinks
A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeatherGen
☆51Updated this week
Alternatives and similar repositories for geoarches
Users that are interested in geoarches are comparing it to the libraries listed below
Sorting:
- ☆47Updated last year
- A generative foundation model for the kilometer-scale atmosphere☆88Updated last month
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆40Updated 9 months ago
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆92Updated 9 months ago
- ☆36Updated 4 months ago
- Diffusion for climate downscaling☆79Updated last year
- ☆36Updated 6 months ago
- Research Software for Neural Weather Prediction for Limited Area Modeling☆189Updated 2 weeks ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆42Updated last year
- Ai2 Climate Emulator: fast machine learning models for weather and climate prediction☆166Updated this week
- Official implementation of Score-based Data Assimilation☆79Updated 2 years ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆105Updated 10 months ago
- AtmoRep model code☆46Updated 10 months ago
- ☆110Updated last year
- ☆26Updated last year
- ☆47Updated 10 months ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆29Updated 3 years ago
- A modular framework for evaluating weather forecasts☆174Updated this week
- Uncertainty quantification for data-driven weather models.☆14Updated 9 months ago
- An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.☆159Updated 11 months ago
- Weather forecasting with Deep Learning☆32Updated 2 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆94Updated 10 months ago
- Benchmarking tools for applying AI/ML to data assimilation☆26Updated 7 months ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆34Updated 4 years ago
- Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.☆91Updated this week
- generation of training-optimised weather datasets from declarative syntax☆12Updated this week
- Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph …☆278Updated last week
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆32Updated last month
- ☆51Updated last year
- ☆40Updated 4 years ago