manifold-random VS deeplearning-hs

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

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manifold-random deeplearning-hs
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39 53
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5.1 0.0
10 months ago over 8 years ago
Haskell Haskell
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

manifold-random

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

We haven't tracked posts mentioning manifold-random 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 manifold-random and deeplearning-hs you can also consider the following projects:

vector-binary-instances - Instances for the Haskell Binary class, for the types defined in the popular vector package.

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

type-natural - Type-level well-kinded natural numbers.

cplex-hs - Haskell bindings for CPLEX

nimber - Finite nimber arithmetic

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

speedy-slice - Speedy slice sampling.

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

safe-decimal

semigroups - Haskell 98 semigroups

mcmc-types - Common types for sampling.