fastbayes VS genetics

Compare fastbayes vs genetics and see what are their differences.

fastbayes

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

genetics

A Genetic Algorithm library in Haskell (by mcandre)
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fastbayes genetics
0 0
11 21
- -
0.0 0.0
over 6 years ago about 3 years ago
Haskell Haskell
MIT 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.

fastbayes

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

We haven't tracked posts mentioning fastbayes 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 fastbayes and genetics you can also consider the following projects:

neural - Neural Nets in native Haskell

HLearn-algebra - Homomorphic machine learning

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

htvm - Haskell experiments involving TVM AI framework

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

rc - Reservoir Computing, an RNN flavor

order-statistics - L-estimators and order statistics