Automatic Differentiation

ad alternatives and similar packages

Based on the "Math" category

• vector

  9.8 6.9 ad VS vector

  Efficient Arrays

• subhask

  9.8 0.0 ad VS subhask

  Type safe interface for programming in subcategories of Hask

• hmatrix

  9.8 2.4 ad VS hmatrix

  Numeric Linear Algebra

• statistics

  9.7 2.8 ad VS statistics

  A library of statistical types, data, and functions

• linear

  9.7 4.3 ad VS linear

  Linear Algebra

• HerbiePlugin

  9.5 0.0 ad VS HerbiePlugin

  automatically improve your code's numeric stability

• algebra

  9.2 4.0 ad VS algebra

  Constructive abstract algebra

• semigroups

  9.2 3.2 ad VS semigroups

  Anything that associates

• grid

  9.1 5.0 ad VS grid

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

• hermit

  9.1 0.0 ad VS hermit

  Haskell Equational Reasoning Model-to-Implementation Tunnel

• estimator

  9.1 0.0 ad VS estimator

  State-space estimation algorithms such as Kalman Filters

• computational-algebra

  9.0 6.2 ad VS computational-algebra

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

• units

  9.0 3.8 ad VS units

  A domain-specific type system for dimensional analysis

• mwc-random

  9.0 1.9 ad VS mwc-random

  Fast, high quality pseudo random number generation

• hblas

  9.0 0.0 ad VS hblas

  Human friendly BLAS and Lapack bindings for Haskell.

• vector-space

  8.9 0.8 ad VS vector-space

  Vector & affine spaces, linear maps, and derivatives

• deeplearning-hs

  8.6 0.0 ad VS deeplearning-hs

  Deep Learning in Haskell

• cf

  8.6 0.0 ad VS cf

  Exact real arithmetic using continued fractions

• rounded

  8.6 2.9 ad VS rounded

  Correctly-rounded arbitrary-precision floating-point arithmetic

• numhask

  8.6 6.7 ad VS numhask

  A numeric prelude

• bayes-stack

  8.6 0.0 ad VS bayes-stack

  Framework for inferring generative probabilistic models with Gibbs sampling

• intervals

  8.4 4.1 ad VS intervals

  Interval Arithmetic

• optimization

  8.4 0.9 ad VS optimization

  Numerical optimization

• monte-carlo

  8.4 0.0 ad VS monte-carlo

  A monad and transformer for Monte Carlo calculations.

• poly

  8.3 6.8 ad VS poly

  Polynomials

• sbvPlugin

  8.3 2.4 ad VS sbvPlugin

  Formally prove properties of Haskell programs using SBV/SMT

• math-functions

  8.3 2.0 ad VS math-functions

  Special functions and Chebyshev polynomials

• hgeometry

  8.3 8.8 ad VS hgeometry

  Geometric Algorithms, Data structures, and Data types.

• arrayfire

  8.2 8.1 ad VS arrayfire

  Haskell bindings to the ArrayFire general-purpose GPU library

• equational-reasoning

  8.1 4.9 ad VS equational-reasoning

  Proof assistant for Haskell using DataKinds & PolyKinds

• simd

  8.1 0.0 ad VS simd

  simple interface to GHC's SIMD instructions

• safe-decimal

  8.0 6.4 ad VS safe-decimal

  Safe and very efficient arithmetic operations on fixed decimal point numbers

• eigen

  8.0 0.0 L2 ad VS eigen

  Eigen C++ library (linear algebra

• polynomial

  8.0 0.0 ad VS polynomial

  Polynomials

• monoid-subclasses

  7.9 5.1 ad VS monoid-subclasses

  Subclasses of Monoid

• vector-sized

  7.9 6.4 ad VS vector-sized

  Size tagged vectors

• simple-smt

  7.8 0.9 ad VS simple-smt

  A simple way to interact with an SMT solver process.

• shapes-math

  7.8 0.0 ad VS shapes-math

  faster vector/matrix math using unboxed numbers and Template Haskell

• mltool

  7.8 0.0 ad VS mltool

  Machine Learning Toolbox

• Decimal

  7.8 0.0 ad VS Decimal

  Decimal numbers with variable precision

• hTensor

  7.8 0.0 ad VS hTensor

  Multidimensional arrays and simple tensor computations.

• vector-th-unbox

  7.6 0.0 ad VS vector-th-unbox

  Deriver for Data.Vector.Unboxed using Template Haskell

• vector-binary-instances

  7.6 2.2 ad VS vector-binary-instances

  Instances of Data.Binary and Data.Serialize for vector

• diagrams-solve

  7.6 3.9 ad VS diagrams-solve

  Pure Haskell solver routines used by diagrams

• glpk-hs

  7.6 0.8 ad VS glpk-hs

  Comprehensive GLPK linear programming bindings

• manifold-random

  7.6 7.4 ad VS manifold-random

  Sampling random points on general manifolds.

• levmar

  7.5 0.0 ad VS levmar

  An implementation of the Levenberg-Marquardt algorithm

• linear-accelerate

  7.4 0.4 ad VS linear-accelerate

  Instances to use linear vector spaces on accelerate backends

• uncertain

  7.4 0.0 ad VS uncertain

  Manipulating numbers with inherent experimental/measurement uncertainty

• vector-instances

  7.4 2.5 ad VS vector-instances

  Orphan Instances for 'Data.Vector'

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.

Do you think we are missing an alternative of ad or a related project?

Add another 'Math' Package

Popular Comparisons

• ad
  vs
  nimber
• hmatrix-repa
  vs
  hmatrix
• hmatrix
  vs
  hTensor
• Xorshift128Plus
  vs
  monoid-subclasses
• subhask
  vs
  magma