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GitHub / madeline-scyphers / boa

Bayesian Optimization for Anything: A high-level Bayesian optimization framework and model wrapping toolkit. It provides an easy-to-use interface between models and the python libraries Ax and BoTorch.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/madeline-scyphers%2Fboa

Stars: 7
Forks: 0
Open Issues: 24

License: mit
Language: Python
Repo Size: 26.7 MB
Dependencies: 37

Created: about 2 years ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago

Files

Readme

Dependencies

setup.py pypi

PyYAML *
ax-platform >=0.2.0
botorch >=0.5
click *
gpytorch >=1.5
numpy *
pandas *
scikit-learn *
scipy *
sqlalchemy *
torch >=1.9
torchaudio *
torchvision *
xarray *

.github/workflows/CI.yaml actions

MishaKav/pytest-coverage-comment main composite
actions/cache v3 composite
actions/checkout v3 composite
codecov/codecov-action v3 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/release.yaml actions

actions/checkout master composite
actions/setup-python v1 composite
pypa/gh-action-pypi-publish release/v1 composite

pyproject.toml pypi

environment.yml conda

attrs
ax-platform >=0.3.1,<=0.3.4
click
ipywidgets >=7.5
jinja2
notebook >=5.3
numpy
pandas
panel
plotly >=5.10.0
python 3.10.*
pytorch
ruamel.yaml
scikit-learn
scipy