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https://github.com/kjhall01/xcast
A High-Performance Data Science Toolkit for the Earth Sciences
https://github.com/kjhall01/xcast
artificial-intelligence big-data climate-data climate-forecasting climate-science machine-learning multimodel-ensemble parallel-computing predictive-analytics python xarray
Last synced: about 2 months ago
JSON representation
A High-Performance Data Science Toolkit for the Earth Sciences
- Host: GitHub
- URL: https://github.com/kjhall01/xcast
- Owner: kjhall01
- License: mit
- Created: 2021-07-15T14:51:04.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-11-22T04:03:57.000Z (about 1 year ago)
- Last Synced: 2024-04-14T02:29:32.669Z (8 months ago)
- Topics: artificial-intelligence, big-data, climate-data, climate-forecasting, climate-science, machine-learning, multimodel-ensemble, parallel-computing, predictive-analytics, python, xarray
- Language: Jupyter Notebook
- Homepage:
- Size: 420 MB
- Stars: 64
- Watchers: 5
- Forks: 6
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-meteo - xcast - of-the-art postprocessing techniques to gridded data sets. (Uncategorized / Uncategorized)
- open-sustainable-technology - XCast - A free and open source climate forecasting toolkit written by Kyle Hall & Nachiketa Acharya, designed to help forecasters and earth scientists apply state-of-the-art postprocessing techniques to gridded data sets. (Climate Change / Climate Data Processing and Analysis)