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fvgp
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- Version
- 4.7.3
- Maintainers
- 2
fvGP
Python package for highly flexible function-valued Gaussian processes (fvGP)
It is recommended to use this package via gpCAM.
Specialties: Extreme-Scale GPs, GPs Tailored for HPC training, Advanced Kernel Designs, Domain-Aware Stochastic Function Approximation
Coming soon: All those capabilitites for stochastic manifold learning
fvGP holds the world record for exact large-scale Gaussian Processes!
Credits
This package uses the HGDL package of David Perryman and Marcus Noack, which is based on the HGDN algorithm by Noack and Funke.
Keywords
FAQs
Python package for highly flexible function-valued Gaussian processes (fvGP)
We found that fvgp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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