https://github.com/kenzaxtazi/climate-kernel-learning

Code for 'Kernel Learning for Explainable Climate Science'
https://github.com/kenzaxtazi/climate-kernel-learning

Last synced: 3 months ago
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Code for 'Kernel Learning for Explainable Climate Science'

• Host: GitHub
• URL: https://github.com/kenzaxtazi/climate-kernel-learning
• Owner: kenzaxtazi
• License: mit
• Created: 2023-01-30T20:37:54.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-19T17:17:39.000Z (over 1 year ago)
• Last Synced: 2025-02-23T16:56:58.219Z (3 months ago)
• Language: Python
• Size: 939 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# nonstationary-precip

Application of shallow non-stationary Gaussian Processes to mountain precipitation. The method is contrasted with Deep Gaussian Processes with Doubly Stochastic Variational Inference.