multilinear VS genetics

Compare multilinear vs genetics and see what are their differences.

multilinear

Efficient implementation of tensor-based AI engine for Haskell. (by ArturB)

genetics

A Genetic Algorithm library in Haskell (by mcandre)
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multilinear genetics
- -
5 20
- -
0.0 0.0
over 5 years ago over 5 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" 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.
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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.

multilinear

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

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

genetics

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

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

What are some alternatives?

When comparing multilinear and genetics you can also consider the following projects:

multilinear-io - Input/output capability in various formats (binary, CSV, JSON) for Multilinear package in Haskell.

fastbayes - A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).

HLearn-algebra - Homomorphic machine learning

rc - Reservoir Computing, an RNN flavor

htvm - Haskell experiments involving TVM AI framework

tensorflow - Haskell bindings for TensorFlow

neural - Neural Nets in native Haskell

haskell-ml - Various examples of machine learning, in Haskell.