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.