https://github.com/GAMES-UChile/The_Art_of_Gaussian_Processes

https://github.com/GAMES-UChile/The_Art_of_Gaussian_Processes

Last synced: 4 days ago
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• Host: GitHub
• URL: https://github.com/GAMES-UChile/The_Art_of_Gaussian_Processes
• Owner: GAMES-UChile
• License: mit
• Created: 2021-12-06T19:19:22.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-12-09T23:44:06.000Z (over 3 years ago)
• Last Synced: 2024-11-18T04:34:14.086Z (6 months ago)
• Language: Jupyter Notebook
• Size: 33.5 MB
• Stars: 39
• Watchers: 2
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-AI-tutorials-surveys - \[Link\ - 2021/Slides/21890_AZNeRaA.pdf) (AI Tutorials / Tutorials 2021)

README

        
# The Art of Gaussian Processes

This repository features the material used for the NeurIPS 2021 tutorial *The Art of Gaussian Processes: Classic and Contemporary*, by [César L. Mattos](https://cc.ufc.br/curso/corpo-docente/cesarlincoln/) and [Felipe Tobar](https://www.dim.uchile.cl/~ftobar)

The components of the repo are: 

- The presentation (.pdf file) 

- The toy toolbox developed for the figures in the presentation (gp_lte.py)

- A Jupyter Notebook to generate the figures of the presentation