HLearn-algebra VS fastbayes

Compare HLearn-algebra vs fastbayes and see what are their differences.

HLearn-algebra

Homomorphic machine learning (by mikeizbicki)

fastbayes

A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling). (by cscherrer)
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HLearn-algebra fastbayes
1 0
1,587 11
- -
0.0 0.0
about 6 years ago about 7 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.

HLearn-algebra

Posts with mentions or reviews of HLearn-algebra. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-30.

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 HLearn-algebra and fastbayes you can also consider the following projects:

tensorflow - Haskell bindings for TensorFlow

neural - Neural Nets in native Haskell

rc - Reservoir Computing, an RNN flavor

genetics - A Genetic Algorithm library in Haskell

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

order-statistics - L-estimators and order statistics

htvm - Haskell experiments involving TVM AI framework

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