numhask VS deeplearning-hs

Compare numhask vs deeplearning-hs and see what are their differences.

numhask

A haskell numeric prelude, providing a clean structure for numbers and operations that combine them. (by tonyday567)
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numhask deeplearning-hs
- -
67 53
- -
6.8 0.0
3 months ago over 8 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

numhask

Posts with mentions or reviews of numhask. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning numhask yet.
Tracking mentions began in Dec 2020.

deeplearning-hs

Posts with mentions or reviews of deeplearning-hs. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning deeplearning-hs yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing numhask and deeplearning-hs you can also consider the following projects:

nuha

manifold-random - Coordinate-free hypersurfaces as Haskell types

dvda - (deprecated) Symbolic expressions and algorithmic differentiation in Haskell.

cplex-hs - Haskell bindings for CPLEX

tower - Deprecated in favour of https://github.com/tonyday567/numhask

linearEqSolver - Solve systems of linear equations, using SMT solvers.

jalla - Just another library for linear algebra (Haskell)

math-programming-glpk - A GLPK backend to the Haskell math-programming library

noether - Highly polymorphic algebraic structures with custom deriving strategies

nimber - Finite nimber arithmetic

mcmc-types - Common types for sampling.