Minimum fuss normally distributed random values.

normaldistribution alternatives and similar packages

Based on the "Math" category

• subhask

  9.8 0.0 normaldistribution VS subhask

  Type safe interface for programming in subcategories of Hask

• hmatrix

  9.8 3.8 normaldistribution VS hmatrix

  Numeric Linear Algebra

• statistics

  9.7 2.8 normaldistribution VS statistics

  A library of statistical types, data, and functions

• linear

  9.7 4.7 normaldistribution VS linear

  Linear Algebra

• vector

  9.7 5.4 normaldistribution VS vector

  Efficient Arrays

• ad

  9.7 4.7 normaldistribution VS ad

  Automatic Differentiation

• HerbiePlugin

  9.4 0.0 normaldistribution VS HerbiePlugin

  automatically improve your code's numeric stability

• semigroups

  9.1 5.7 normaldistribution VS semigroups

  Anything that associates

• estimator

  9.1 0.0 normaldistribution VS estimator

  State-space estimation algorithms such as Kalman Filters

• hermit

  9.0 0.0 normaldistribution VS hermit

  Haskell Equational Reasoning Model-to-Implementation Tunnel

• algebra

  9.0 0.0 normaldistribution VS algebra

  Constructive abstract algebra

• units

  9.0 3.8 normaldistribution VS units

  A domain-specific type system for dimensional analysis

• grid

  9.0 3.2 normaldistribution VS grid

  Tools for working with regular grids (graphs, lattices).

• hblas

  8.9 0.0 normaldistribution VS hblas

  Human friendly BLAS and Lapack bindings for Haskell.

• computational-algebra

  8.8 6.8 normaldistribution VS computational-algebra

  Well-kinded computational algebra library, currently supporting Groebner basis.

• mwc-random

  8.7 0.3 normaldistribution VS mwc-random

  Fast, high quality pseudo random number generation

• vector-space

  8.7 2.8 normaldistribution VS vector-space

  Vector & affine spaces, linear maps, and derivatives

• numhask

  8.6 6.7 normaldistribution VS numhask

  A numeric prelude

• deeplearning-hs

  8.5 0.0 normaldistribution VS deeplearning-hs

  Deep Learning in Haskell

• cf

  8.4 0.0 normaldistribution VS cf

  Exact real arithmetic using continued fractions

• bayes-stack

  8.4 0.0 normaldistribution VS bayes-stack

  Framework for inferring generative probabilistic models with Gibbs sampling

• monte-carlo

  8.3 0.0 normaldistribution VS monte-carlo

  A monad and transformer for Monte Carlo calculations.

• math-functions

  8.3 2.0 normaldistribution VS math-functions

  Special functions and Chebyshev polynomials

• hgeometry

  8.3 8.8 normaldistribution VS hgeometry

  Geometric Algorithms, Data structures, and Data types.

• optimization

  8.2 2.5 normaldistribution VS optimization

  Numerical optimization

• intervals

  8.1 4.6 normaldistribution VS intervals

  Interval Arithmetic

• vector-sized

  7.9 6.4 normaldistribution VS vector-sized

  Size tagged vectors

• mltool

  7.8 0.0 normaldistribution VS mltool

  Machine Learning Toolbox

• eigen

  7.8 0.6 L2 normaldistribution VS eigen

  Eigen C++ library (linear algebra

• Decimal

  7.8 0.0 normaldistribution VS Decimal

  Decimal numbers with variable precision

• sbvPlugin

  7.7 6.4 normaldistribution VS sbvPlugin

  Formally prove properties of Haskell programs using SBV/SMT

• simd

  7.7 0.0 normaldistribution VS simd

  simple interface to GHC's SIMD instructions

• vector-binary-instances

  7.6 2.2 normaldistribution VS vector-binary-instances

  Instances of Data.Binary and Data.Serialize for vector

• manifold-random

  7.6 7.4 normaldistribution VS manifold-random

  Sampling random points on general manifolds.

• hTensor

  7.6 0.0 normaldistribution VS hTensor

  Multidimensional arrays and simple tensor computations.

• polynomial

  7.5 0.0 normaldistribution VS polynomial

  Polynomials

• equational-reasoning

  7.3 3.9 normaldistribution VS equational-reasoning

  Proof assistant for Haskell using DataKinds & PolyKinds

• vector-th-unbox

  7.3 0.0 normaldistribution VS vector-th-unbox

  Deriver for Data.Vector.Unboxed using Template Haskell

• fast-math

  7.3 0.0 normaldistribution VS fast-math

  Non IEEE-754 compliant compile-time floating-point optimisations

• noether

  7.2 0.0 normaldistribution VS noether

  Math in Haskell.

• simple-smt

  7.2 2.5 normaldistribution VS simple-smt

  A simple way to interact with an SMT solver process.

• monoid-subclasses

  7.2 5.6 normaldistribution VS monoid-subclasses

  Subclasses of Monoid

• modular-arithmetic

  7.1 2.5 normaldistribution VS modular-arithmetic

  A type for integers modulo some constant.

• levmar

  7.0 0.0 normaldistribution VS levmar

  An implementation of the Levenberg-Marquardt algorithm

• diagrams-solve

  7.0 2.6 normaldistribution VS diagrams-solve

  Pure Haskell solver routines used by diagrams

• uncertain

  6.9 2.1 normaldistribution VS uncertain

  Manipulating numbers with inherent experimental/measurement uncertainty

• vector-instances

  6.9 3.8 normaldistribution VS vector-instances

  Orphan Instances for 'Data.Vector'

• clifford

  6.8 0.0 normaldistribution VS clifford

  A Clifford algebra library

• nats

  6.8 4.5 normaldistribution VS nats

  Natural numbers

• arb-fft

  6.8 3.2 normaldistribution VS arb-fft

  Pure Haskell arbitrary length FFT library

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