tcapelle / metnet_pytorch
A MetNet implementation in Pytorch and fastai
☆31Updated 3 years ago
Alternatives and similar repositories for metnet_pytorch:
Users that are interested in metnet_pytorch are comparing it to the libraries listed below
- ☆40Updated 3 years ago
- Code for working with the SEVIR weather dataset☆28Updated 2 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆91Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ☆41Updated 10 months ago
- post-processing experiments with neural networks☆61Updated 3 years ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 4 months ago
- Subseasonal forecasting models☆47Updated 2 weeks ago
- AI Challenges based on the SEVIR weather dataset☆42Updated 3 years ago
- ☆24Updated 11 months ago
- Diffusion for climate downscaling☆49Updated 7 months ago
- Data access package for the SubseasonalClimateUSA dataset☆29Updated 3 months ago
- An implementation of "metnet3" in Pytorch☆38Updated 3 weeks ago
- Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevi…☆65Updated 3 years ago
- ☆30Updated 2 years ago
- Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"☆35Updated 3 years ago
- Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models☆24Updated 2 years ago
- ☆44Updated this week
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 3 years ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago
- Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"☆82Updated 4 years ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆18Updated 8 months ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆36Updated 2 months ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆16Updated 4 months ago
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆61Updated 9 months ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆88Updated 6 months ago
- ☆13Updated 2 years ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆81Updated 2 weeks ago
- ☆95Updated 4 months ago