leobix / hurricast
☆20Updated 4 months ago
Alternatives and similar repositories for hurricast:
Users that are interested in hurricast are comparing it to the libraries listed below
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆27Updated 7 months ago
- Testing out Diffusion-based models for weather and PV forecasting☆14Updated 3 weeks ago
- ☆19Updated last month
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆21Updated 3 weeks ago
- Official PyTorch implementation of "Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth …☆13Updated 2 years ago
- ☆14Updated 4 years ago
- ☆35Updated last month
- Subseasonal forecasting models☆53Updated 2 months ago
- Data access package for the SubseasonalClimateUSA dataset☆30Updated 5 months ago
- Code for neural network parameterization project☆18Updated last year
- Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".☆33Updated 2 years ago
- ML Datasets Catalog☆57Updated last year
- Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"☆35Updated 4 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆12Updated 2 months ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆16Updated 2 years ago
- ☆24Updated last year
- Climate Analytics using Deep Neural Networks in Python.☆62Updated last year
- Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low …☆13Updated 5 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆21Updated 2 years ago
- Starter Kit for the NeurIPS 2022 Weather4cast competition☆54Updated 2 years ago
- A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…☆40Updated this week
- A MetNet implementation in Pytorch and fastai☆32Updated 3 years ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆30Updated 2 years ago
- ☆32Updated 2 years ago
- ☆20Updated 10 months ago
- El nino forecast based on a few machine learning methods☆24Updated 8 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 6 years ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆33Updated 2 years ago