rc VS multilinear

Compare rc vs multilinear and see what are their differences.

multilinear

Efficient implementation of tensor-based AI engine for Haskell. (by ArturB)
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rc multilinear
0 0
6 5
- -
0.0 0.0
over 1 year ago about 3 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.
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.

rc

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

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

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.

What are some alternatives?

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

HLearn-algebra - Homomorphic machine learning

tensorflow - Haskell bindings for TensorFlow

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

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

genetics - A Genetic Algorithm library in Haskell

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

neural - Neural Nets in native Haskell

htvm - Haskell experiments involving TVM AI framework