spectral-clustering alternatives and similar packages

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• ad

  9.8 3.2 spectral-clustering VS ad

  Automatic Differentiation

• vector

  9.8 5.0 spectral-clustering VS vector

  An efficient implementation of Int-indexed arrays (both mutable and immutable), with a powerful loop optimisation framework .
  

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• subhask

  9.8 0.0 spectral-clustering VS subhask

  Type safe interface for working in subcategories of Hask

• hmatrix

  9.8 0.0 spectral-clustering VS hmatrix

  Linear algebra and numerical computation
  

• linear

  9.7 0.0 spectral-clustering VS linear

  Low-dimensional linear algebra primitives for Haskell.

• statistics

  9.7 0.0 spectral-clustering VS statistics

  A fast, high quality library for computing with statistics in Haskell.
  

• what4

  9.4 4.5 spectral-clustering VS what4

  Symbolic formula representation and solver interaction library
  

• HerbiePlugin

  9.4 0.0 spectral-clustering VS HerbiePlugin

  GHC plugin that improves Haskell code's numerical stability

• hgeometry

  9.3 3.2 spectral-clustering VS hgeometry

  HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.

• grid

  9.2 0.0 spectral-clustering VS grid

  Tools for working with regular grids/graphs/lattices.

• units

  9.2 0.0 spectral-clustering VS units

  The home of the units Haskell package

• algebra

  9.2 0.0 spectral-clustering VS algebra

  constructive abstract algebra

• semigroups

  9.1 0.0 spectral-clustering VS semigroups

  Haskell 98 semigroups

• dimensional

  9.1 3.8 spectral-clustering VS dimensional

  Dimensional library variant built on Data Kinds, Closed Type Families, TypeNats (GHC 7.8+).

• computational-algebra

  9.0 0.0 spectral-clustering VS computational-algebra

  General-Purpose Computer Algebra System as an EDSL in Haskell

• hermit

  9.0 0.0 spectral-clustering VS hermit

  Haskell Equational Reasoning Model-to-Implementation Tunnel
  

• estimator

  9.0 0.0 spectral-clustering VS estimator

  State-space estimation algorithms and models
  

• mwc-random

  8.9 1.1 spectral-clustering VS mwc-random

  A very fast Haskell library for generating high quality pseudo-random numbers.
  

• matrix

  8.9 0.0 spectral-clustering VS matrix

  A Haskell native implementation of matrices and their operations.

• hblas

  8.9 0.0 spectral-clustering VS hblas

  haskell bindings for blas and lapack
  

• numhask

  8.8 0.0 spectral-clustering VS numhask

  A haskell numeric prelude, providing a clean structure for numbers and operations that combine them.

• lambda-calculator

  8.8 3.5 spectral-clustering VS lambda-calculator

  An introduction to the Lambda Calculus

• vector-space

  8.7 0.0 spectral-clustering VS vector-space

  Vector & affine spaces, linear maps, and derivatives

• rounded

  8.6 0.0 spectral-clustering VS rounded

  MPFR bindings for Haskell

• math-functions

  8.6 0.0 spectral-clustering VS math-functions

  Special mathematical functions
  

• vector-sized

  8.6 0.0 spectral-clustering VS vector-sized

  Size tagged vectors

• poly

  8.5 3.8 spectral-clustering VS poly

  Fast polynomial arithmetic in Haskell (dense and sparse, univariate and multivariate, usual and Laurent)

• deeplearning-hs

  8.5 0.0 spectral-clustering VS deeplearning-hs

  Deep Learning in Haskell

• cf

  8.5 0.0 spectral-clustering VS cf

  "Exact" real arithmetic for Haskell using continued fractions (Not formally proven correct)

• arrayfire

  8.5 0.0 spectral-clustering VS arrayfire

  Haskell bindings to ArrayFire
  

• bayes-stack

  8.5 0.0 spectral-clustering VS bayes-stack

  Framework for Gibbs sampling of probabilistic models

• optimization

  8.4 0.0 spectral-clustering VS optimization

  Some numerical optimization methods implemented in Haskell

• safe-decimal

  8.3 0.0 spectral-clustering VS safe-decimal

  Safe and very efficient arithmetic operations on fixed decimal point numbers
  

• rampart

  8.3 0.0 spectral-clustering VS rampart

  :european_castle: Determine how intervals relate to each other.

• equational-reasoning

  8.2 2.7 spectral-clustering VS equational-reasoning

  Agda-style equational reasoning in Haskell

• bed-and-breakfast

  8.2 0.0 spectral-clustering VS bed-and-breakfast

  Matrix operations in 100% pure Haskell

• type-natural

  8.2 0.0 spectral-clustering VS type-natural

  Type-level well-kinded natural numbers.

• monte-carlo

  8.2 0.0 spectral-clustering VS monte-carlo

  A Monte Carlo monad and transformer for Haskell.

• intervals

  8.1 0.0 spectral-clustering VS intervals

  Interval Arithmetic

• Decimal

  8.1 0.0 spectral-clustering VS Decimal

  Decimal numbers with variable precision

• simple-smt

  8.1 2.1 spectral-clustering VS simple-smt

  A simple way to interact with an SMT solver process.

• sbvPlugin

  8.1 0.0 spectral-clustering VS sbvPlugin

  Formally prove properties of Haskell programs using SBV/SMT.

• monoid-subclasses

  7.9 0.0 spectral-clustering VS monoid-subclasses

  Subclasses of Monoid with a solid theoretical foundation and practical purposes

• mltool

  7.9 0.0 spectral-clustering VS mltool

  Machine Learning Toolbox

• polynomial

  7.9 0.0 spectral-clustering VS polynomial

  Haskell library for manipulating and evaluating polynomials

• eigen

  7.9 0.0 L2 spectral-clustering VS eigen

  Haskel binding for Eigen library. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.

• vector-th-unbox

  7.8 0.0 spectral-clustering VS vector-th-unbox

  Deriver for unboxed vectors using Template Haskell

• simd

  7.8 0.0 spectral-clustering VS simd

  simple interface to ghc's simd vector support

• dimensions

  7.8 0.0 spectral-clustering VS dimensions

  Many-dimensional type-safe numeric ops

• manifold-random

  7.7 0.0 spectral-clustering VS manifold-random

  Coordinate-free hypersurfaces as Haskell types

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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