This plugin evaluates constant math expressions at compile-time.
For details and full usage information, see;
https://github.com/kfish/const-math-ghc-plugin
To use it to compile *foo.hs*:
> $ cabal install const-math-ghc-plugin
> $ ghc -fplugin ConstMath.Plugin foo.hs
To use it to build a cabal package *packagename*:
> $ cabal install --ghc-options="-package const-math-ghc-plugin
> -fplugin ConstMath.Plugin" packagename
Math should run faster.
Version 1.0.0.0

The package provides normal forms for monads and related structures, similarly to the Operational package. The difference is that we parameterise the normal forms on a constraint, and apply that constraint to all existential types within the normal form. This allows monad (and other) instances to be generated for underlying types that require constraints on their return-like and bind-like operations, e.g. Set.
This is documented in the following paper:
The Constrained-Monad Problem. Neil Sculthorpe and Jan Bracker and George Giorgidze and Andy Gill. 2013. http://www.ittc.ku.edu/~neil/papers_and_talks/constrained-monad-problem.pdf
The functionality exposed by this library is also used internally by the Set-Monad and RMonad packages.
Version 1.0.0

Constraint manipulation
Version 0.3.4.2

Return a list of values of a datatype. Each value is one of the possible constructors of the datatype, populated with empty values.

The constructible reals are the subset of the real numbers that can be represented exactly using field operations (addition, subtraction, multiplication, division) and positive square roots. They support exact computations, equality comparisons, and ordering.
Version 0.1.0.1

A library of algebra focusing mainly on commutative ring theory from a constructive point of view.
Classical structures are implemented without Noetherian assumptions. This means that it is not assumed that all ideals are finitely generated. For example, instead of principal ideal domains one gets Bezout domains which are integral domains in which all finitely generated ideals are principal (and not necessarily that all ideals are principal). This give a good framework for implementing many interesting algorithms.
Version 0.3.0

This module provides more flexible versions of common type classes that use the ConstraintKinds extension. This allows us to make types that require constraints instances of the popular classes. For example, we reimplement Functor and Foldable using the ContraintKinds style. This allows us to manipulate lists and unboxed vectors using the same functions.
This library needs a lot of work before it can be considered ready for others to use. Right now, only those instances needed by the HLearn library have been implemented in this library.
Version 1.1.0.0

> Constraint

The library provides efficient implementation of the first-order, linear-chain conditional random fields (CRFs) with position-wise constraints imposed over label values.
It is strongly related to the simpler http://hackage.haskell.org/package/crf-chain1 library where constraints are not taken into account and all features which are not included in the CRF model are considered to have probability of 0. Here, on the other hand, such features do not influence the overall probability of the (sentence, labels) pair - they are assigned the default potential of 0.
Efficient algorithm for determining marginal probabilities of individual labels is provided. The tagging is performed with respect to marginal probabilities.
Version 0.3.0

record construction expression