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Within LTS Haskell 24.35 (ghc-9.10.3)

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  1. package hybrid-vectors

    Hybrid vectors e.g. Mixed Boxed/Unboxed vectors Hybrid vectors e.g. Mixed Boxed/Unboxed vectors.

  2. package hyperloglog

    An approximate streaming (constant space) unique object counter This package provides an approximate streaming (constant space) unique object counter. See the original paper for details: http://algo.inria.fr/flajolet/Publications/FlFuGaMe07.pdf Notably it can be used to approximate a set of several billion elements with 1-2% inaccuracy in around 1.5k of memory.

  3. package iconv

    String encoding conversion Provides an interface to the POSIX iconv library functions for string encoding conversion.

  4. package if

    (?) and (?>) conditional operator (?) and (?>) conditional operator, it can be used with any existed version of base.

  5. package iff

    Constructing and dissecting IFF files The Interchange File Format of Electronic Arts is a container format used for many kinds of data. Common file formats are e.g. IFF-8SVX for 8-bit sampled sounds and IFF-ILBM for images in an interleaved way that is close to image representation in Amiga computers. Cf. http://netghost.narod.ru/gff/vendspec/iff/index.htm This library does only handle the IFF container format and does not handle any specific IFF data type. The intention is the same as of Amiga's iffparse.library. See http://wiki.amigaos.net/index.php/IFFParse_Library.

  6. package ihaskell-hvega

    IHaskell display instance for hvega types. Support Vega-Lite visualizations in IHaskell notebooks.

  7. package inbox

    Inbox for asychronous messages Facilitates testing of asynchronous behavior

  8. package incipit-core

    A Prelude for Polysemy See https://hackage.haskell.org/package/incipit-core/docs/IncipitCore.html

  9. package indexed-transformers

    Atkey indexed monad transformers Please see the README on GitHub at https://github.com/morphismtech/indexed-transformers#readme

  10. package inf-backprop

    Automatic differentiation and backpropagation. Automatic differentiation and backpropagation. We do not attract gradient tape. Instead, the differentiation operator is defined directly as a map between differentiable function objects. Such functions are to be combined in arrow style using (>>>), (***), first, etc. The original purpose of the package is an automatic backpropagation differentiation component for a functional type-dependent library for deep machine learning. See tutorial details.

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