fastbayes VS HLearn-algebra

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

fastbayes

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

HLearn-algebra

Homomorphic machine learning (by mikeizbicki)
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fastbayes HLearn-algebra
- 2
11 1,619
- -
0.0 0.0
almost 9 years ago almost 8 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.

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 2022-10-28.

What are some alternatives?

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

neural - Neural Nets in native Haskell

tensorflow - Haskell bindings for TensorFlow

rc - Reservoir Computing, an RNN flavor

order-statistics - L-estimators and order statistics

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

genetics - A Genetic Algorithm library 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.