r-cran-bdgraph
GNU R bayesian structure learning in graphical models
Statistical tools for Bayesian structure learning in undirected
graphical models for continuous, discrete, and mixed data. The package
is implemented the recent improvements in the Bayesian graphical models
literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>,
Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.
python3-pomegranate
Fast, flexible and easy to use probabilistic modelling
pomegranate is a package for probabilistic models in Python that is
implemented in cython for speed. It's focus is on merging the easy-to-use
scikit-learn API with the modularity that comes with probabilistic
modeling to allow users to specify complicated models without needing to
worry about implementation details. The models are built from the ground
up with big data processing in mind and so natively support features
like out-of-core learning and parallelism.
libqgisgrass8-3.22.15
QGIS - shared grass library
QGIS is a Geographic Information System (GIS) which manages, analyzes and
display databases of geographic information.
libqgispython3.22.15
QGIS - shared Python library
QGIS is a Geographic Information System (GIS) which manages, analyzes and
display databases of geographic information.
python3-torch-geometric
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and
train Graph Neural Networks (GNNs) for a wide range of applications related to
structured data.
fgetty
very small, efficient, console-only getty and login
fgetty is a small, efficient, console-only getty for Linux.
It is derived from mingetty.