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.