python-pebl

Python Environment for Bayesian Learning

Pebl is a Python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features: * Can learn with observational and interventional data * Handles missing values and hidden variables using exact and heuristic methods * Provides several learning algorithms; makes creating new ones simple * Has facilities for transparent parallel execution using several cluster/grid resources * Calculates edge marginals and consensus networks * Presents results in a variety of formats

lttv

Linux Trace Toolkit Viewer

The LTTng project aims at providing highly efficient tracing tools for Linux. Its tracers help track down performance issues and debugging problems involving multiple concurrent processes and threads. Tracing across multiple systems is also possible.

gir1.2-mx-1.0

GObject introspection data for the libmx library

python-crypto

cryptographic algorithms and protocols for Python

A collection of cryptographic algorithms and protocols, implemented for use from Python. Among the contents of the package:

libmx-1.0-2

toolkit for the Moblin user experience

gfortran-5-powerpc64-linux-gnu

GNU Fortran compiler

This is the GNU Fortran compiler, which compiles Fortran on platforms supported by the gcc compiler. It uses the gcc backend to generate optimized code.