fastbayes VS haskell-ml

Compare fastbayes vs haskell-ml and see what are their differences.

fastbayes

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

haskell-ml

Various examples of machine learning, in Haskell. (by capn-freako)
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fastbayes haskell-ml
0 1
11 17
- -
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.

haskell-ml

Posts with mentions or reviews of haskell-ml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-04.

What are some alternatives?

When comparing fastbayes and haskell-ml you can also consider the following projects:

HLearn-algebra - Homomorphic machine learning

rc - Reservoir Computing, an RNN flavor

neural - Neural Nets in native Haskell

htvm - Haskell experiments involving TVM AI framework

genetics - A Genetic Algorithm library in Haskell

order-statistics - L-estimators and order statistics

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