rc VS fastbayes

Compare rc vs fastbayes and see what are their differences.

fastbayes

A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling). (by cscherrer)
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rc fastbayes
0 0
6 11
- -
0.0 0.0
over 1 year ago over 6 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License 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.

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.

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.

What are some alternatives?

When comparing rc and fastbayes 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.

neural - Neural Nets in native Haskell

htvm - Haskell experiments involving TVM AI framework

genetics - A Genetic Algorithm library in Haskell

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

order-statistics - L-estimators and order statistics