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SeisBench: A toolbox for machine learning in seismology
SeisBench is an open-source Python toolbox for machine learning in seismology. It brings together the whole machine learning model lifecycle: datasets and benchmarks, models and training pipelines, and efficient implementations for deploying the models in production.
- Earth & Environment
- GPU
- Helmholtz AI
- + 4
- Jupyter Notebook
- Python
- C
6
238
AutoPV
Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
- Energy
- Ensemble
- ESD
- + 4
- Python
5
7
AutoPQ
Automated point forecast-based quantile forecasts
- Energy
- ESD
- ESD - Topic 2
- + 3
- Python
7
3
AutoWP
Automated wind power forecasts with limited computing resources using an ensemble of diverse wind power curves.
- Energy
- Ensemble
- ESD
- + 4
- Python
7
0