rc VS genetics

Compare rc vs genetics and see what are their differences.

genetics

A Genetic Algorithm library in Haskell (by mcandre)
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rc genetics
0 0
7 21
- -
0.0 0.0
over 1 year ago over 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.

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 rc and genetics you can also consider the following projects:

tensorflow - Haskell bindings for TensorFlow

HLearn-algebra - Homomorphic machine learning

neural - Neural Nets in native Haskell

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

htvm - Haskell experiments involving TVM AI framework

multilinear - Efficient implementation of tensor-based AI engine for Haskell.

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

order-statistics - L-estimators and order statistics