gptools
Gaussian processes on graphs and lattices in Stan and pytorch.
Science Score: 44.0%
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (3.7%) to scientific vocabulary
Keywords
fft
gaussian-processes
graph
pytorch
stan
Last synced: 6 months ago
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Repository
Gaussian processes on graphs and lattices in Stan and pytorch.
Basic Info
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
fft
gaussian-processes
graph
pytorch
stan
Created over 3 years ago
· Last pushed about 3 years ago
Metadata Files
Readme
License
Citation
README.md
gptools: performant Gaussian processes in Stan and pytorch 
This collection of packages provides tools for performant inference of Gaussian processes.
gptools-stan: Gaussian processes in Stan.gptools-torch: Gaussian processes in pytorch.gptools-util: Utility functions for Gaussian processes.
Owner
- Name: Till Hoffmann
- Login: tillahoffmann
- Kind: user
- Location: Boston, MA
- Company: Harvard T.H. Chan School of Public Health
- Website: http://tillahoffmann.github.io/
- Twitter: tillahoffmann
- Repositories: 89
- Profile: https://github.com/tillahoffmann
Building network models at @HarvardChanSchool with a focus on open and reproducible science. Formerly @imperial, @spotify.
Citation (CITATION.cff)
# yaml-language-server: $schema=https://citation-file-format.github.io/1.2.0/schema.json
cff-version: 1.2.0
message: If you use this software, please cite it as below.
title: Scalable Gaussian Process Inference with Stan
url: "https://github.com/onnela-lab/gptools"
authors:
- family-names: Hoffmann
given-names: Till
orcid: https://orcid.org/0000-0003-4403-0722
- family-names: Onnela
given-names: Jukka-Pekka
orcid: https://orcid.org/0000-0001-6613-8668
preferred-citation:
type: article
authors:
- family-names: Hoffmann
given-names: Till
orcid: https://orcid.org/0000-0003-4403-0722
- family-names: Onnela
given-names: Jukka-Pekka
orcid: https://orcid.org/0000-0001-6613-8668
doi: 10.48550/arXiv.2301.08836
journal: arXiv
start: "2301.08836"
title: Scalable Gaussian Process Inference with Stan
year: 2023
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 9
- Total pull requests: 66
- Average time to close issues: 20 days
- Average time to close pull requests: 2 days
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.78
- Average comments per pull request: 0.05
- Merged pull requests: 60
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- tillahoffmann (9)
Pull Request Authors
- tillahoffmann (65)
Top Labels
Issue Labels
enhancement (3)
stan (3)
util (2)
wontfix (2)
Pull Request Labels
stan (6)
enhancement (2)
util (2)
documentation (1)
bug (1)
torch (1)
Dependencies
.github/workflows/main.yml
actions
- actions/cache v3 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pypa/gh-action-pypi-publish release/v1 composite
dev_requirements.in
pypi
- jupytext * development
- pip-tools * development
dev_requirements.txt
pypi
- 164 dependencies
shared_requirements.in
pypi
- docutils <0.18
- nbclient <=0.5.13
stan/setup.py
pypi
- Required *
- cmdstanpy >=1.0.7
- gptools-util *
- https *
- numpy *
stan/test_requirements.txt
pypi
- 157 dependencies
torch/setup.py
pypi
- gptools-util *
- numpy *
- torch *
torch/test_requirements.txt
pypi
- 153 dependencies
util/setup.py
pypi
- numpy *
util/test_requirements.txt
pypi
- 152 dependencies