drivendataorg / wind-dependent-variables
Winners of the Wind-dependent Variables: Predict Wind Speeds of Tropical Storms competition
☆23Updated last year
Related projects: ⓘ
- Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Ma…☆39Updated 3 years ago
- Satellite Optical Flow with machine learning models☆59Updated 10 months ago
- ☆13Updated last year
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆19Updated this week
- ☆13Updated 5 years ago
- ML Datasets Catalog☆54Updated last year
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆9Updated 2 years ago
- A MetNet implementation in Pytorch and fastai☆31Updated 3 years ago
- ☆15Updated last year
- ☆39Updated 5 months ago
- Models for the EarthNet2021 challenge.☆42Updated last week
- ☆13Updated 2 years ago
- Bias correction of air quality CAMS model predictions by using OpenAQ observations.☆10Updated 3 years ago
- Official PyTorch implementation of "Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth …☆13Updated last year
- Solution to the Weather4cast 2021 Stage 1 challenge☆14Updated 2 years ago
- Code for working with the SEVIR weather dataset☆26Updated 2 years ago
- Subseasonal forecasting models☆42Updated 3 months ago
- Beta for Pangeo Postprocessing☆15Updated 4 years ago
- A python library to extract topographical features from elevation data.☆19Updated 8 months ago
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated last year
- Digital Typhoon Dataset☆23Updated 10 months ago
- Deep Learning Models for Wildfire Danger Forecasting☆61Updated 2 years ago
- Notebooks for AI2ES (NSF Institute for Research on Trustworthy Artificial Intelligence in Weather, Climate, and Coastal Oceanography) sho…☆14Updated 9 months ago
- Deep learning for climate modeling.☆38Updated 5 years ago
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆26Updated 2 months ago
- Testing out Diffusion-based models for weather and PV forecasting☆12Updated last month
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆14Updated 2 years ago
- Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models☆37Updated 3 weeks ago
- Python package for downloading ECMWF reanalysis data and converting it into a time series format.☆38Updated 2 weeks ago
- Climate Analytics using Deep Neural Networks in Python.☆57Updated 11 months ago