jleinonen / weather4cast-stage1
Solution to the Weather4cast 2021 Stage 1 challenge
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for weather4cast-stage1
- ☆38Updated 3 years ago
- ☆20Updated last week
- ☆28Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆35Updated last year
- Code accompanying our IARAI Weather4cast Challenge☆45Updated 2 years ago
- A python library to extract topographical features from elevation data.☆20Updated 9 months ago
- Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models☆22Updated 2 years ago
- ☆9Updated 10 months ago
- ☆13Updated last year
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆84Updated 3 months ago
- Satellite Optical Flow with machine learning models☆61Updated 11 months ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆22Updated last year
- Subseasonal forecasting models☆43Updated this week
- A MetNet implementation in Pytorch and fastai☆31Updated 3 years ago
- ☆41Updated 6 months ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆87Updated last year
- Ai2 Climate Emulator☆43Updated 3 weeks ago
- ML Datasets Catalog☆55Updated last year
- Testing out Diffusion-based models for weather and PV forecasting☆12Updated 3 weeks ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 3 weeks ago
- Style-based GAN for geophysical fields☆13Updated 4 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆12Updated 3 years ago
- A spherical CNN for weather forecasting☆67Updated last year
- ☆19Updated 4 months ago
- Clean, easier to use version of the downscaling cGAN☆22Updated 8 months ago
- ☆14Updated 8 months ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆29Updated this week
- Implementation of convolutional conditional neural processes for statistical downscaling☆29Updated 3 years ago
- RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash☆31Updated 8 months ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆31Updated last year