MIT-AI-Accelerator / eie-sevir
Code for working with the SEVIR weather dataset
☆29Updated 2 years ago
Alternatives and similar repositories for eie-sevir:
Users that are interested in eie-sevir are comparing it to the libraries listed below
- AI Challenges based on the SEVIR weather dataset☆42Updated 3 years ago
- ☆40Updated 3 years ago
- Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"☆83Updated 4 years ago
- Code release to showcase potential usages of TAASRAD19 Dataset☆43Updated 3 years ago
- ☆26Updated 2 years ago
- Pytorch implementation of paper "REMNet: Recurrent Evolution Memory-aware Network for Accurate Long-term Weather Radar Echo Extrapolation…☆10Updated last year
- Uses machine learning to predict convective initiation and decay from satellite data.☆23Updated last year
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆32Updated 2 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆67Updated 3 years ago
- a GAN for precipitation downscaling☆41Updated 3 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- A MetNet implementation in Pytorch and fastai☆32Updated 3 years ago
- ☆24Updated last year
- Diffusion for climate downscaling☆52Updated 8 months ago
- ☆15Updated last year
- post-processing experiments with neural networks☆61Updated 3 years ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆30Updated 2 years ago
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆19Updated last year
- Skilful precipitation nowcasting using deep generative models of radar☆34Updated 3 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆90Updated 7 months ago
- ☆31Updated 2 years ago
- ☆10Updated 8 months ago
- ☆24Updated 2 years ago
- ☆19Updated 3 years ago
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆32Updated 5 months ago
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆66Updated 10 months ago
- [NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling☆54Updated 6 months ago
- ☆23Updated 9 months ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆20Updated 9 months ago