python3-mlpack
intuitive, fast, scalable C++ machine learning library (Python bindings)
This package contains Python bindings for the mlpack Library.
ironic-conductor
bare metal hypervisor API for OpenStack - conductor
Ironic provision bare metal machines instead of virtual machines. It is a fork
of the Nova Baremetal driver. It is best thought of as a bare metal hypervisor
API and a set of plugins which interact with the bare metal hypervisors. By
default, it will use PXE and IPMI in concert to provision and turn on/off
machines, but Ironic also supports vendor-specific plugins which may implement
additional functionality.
libodoc-ocaml
documentation generator for OCaml (runtime libraries)
Odoc is a documentation generator for the OCaml programming language.
It reads doc comments contained in OCaml source code, delimited with
(** ... *), and produces HTML.
listadmin
command line mailman moderator queue manipulation
listadmin is a command line tool to manipulate the queues of messages
held for moderator approval by mailman. It is designed to keep user
interaction to a minimum, in theory you could run it from cron to
prune the queue. It can use the score from a header added by
SpamAssassin to filter, or it can match specific senders, subjects, or
reasons.
libangstrom-ocaml
speed and memory-efficient parser combinators for OCaml (runtime)
Angstrom is a parser-combinator library that makes it easy to write
efficient, expressive, and reusable parsers suitable for
high-performance applications. It exposes monadic and applicative
interfaces for composition, and supports incremental input through
buffered and unbuffered interfaces. Both interfaces give the user
total control over the blocking behavior of their application, with
the unbuffered interface enabling zero-copy IO. Parsers are
backtracking by default and support unbounded lookahead.
mcstas-mcdoc
Neutron ray-trace simulation - documentation browser
McStas is a tool for carrying out Monte Carlo ray-tracing simulations
of neutron scattering instruments with high complexity and
precision. The simulations can compute all aspects of the performance
of instruments and can thus be used to optimize the use of existing
equipment, design new instrumentation, and carry out virtual
experiments for e.g. training, experimental planning or data
analysis.