https://github.com/lbl-camera/fvgp
A software package for flexible HPC GPs
https://github.com/lbl-camera/fvgp
gaussian-processes machine-learning stochastic-optimization stochastic-processes
Last synced: 5 months ago
JSON representation
A software package for flexible HPC GPs
- Host: GitHub
- URL: https://github.com/lbl-camera/fvgp
- Owner: lbl-camera
- License: other
- Created: 2021-12-04T00:26:08.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2025-02-28T21:49:35.000Z (over 1 year ago)
- Last Synced: 2025-04-02T17:50:27.414Z (about 1 year ago)
- Topics: gaussian-processes, machine-learning, stochastic-optimization, stochastic-processes
- Language: Python
- Homepage: https://fvgp.readthedocs.io/
- Size: 28 MB
- Stars: 16
- Watchers: 2
- Forks: 4
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Changelog: HISTORY.rst
- Contributing: CONTRIBUTING.rst
- License: COPYING
- Authors: AUTHORS.rst
Awesome Lists containing this project
README
# fvGP
[](https://pypi.org/project/fvgp/)
[](https://fvgp.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/lbl-camera/fvGP/actions/workflows/fvGP-CI.yml)
[](https://app.codecov.io/gh/lbl-camera/fvGP)
[](https://pypi.org/project/fvgp/)
[
](https://gpCAM.slack.com/)
[](https://zenodo.org/badge/latestdoi/434769505)
Python package for highly flexible function-valued Gaussian processes (fvGP)
It is recommended to use this package via [gpCAM](https://gpcam.lbl.gov/).
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](https://www.sciencedirect.com/science/article/pii/S037704271730225X) algorithm by Noack and Funke.