neural VS fastbayes

Compare neural vs fastbayes and see what are their differences.

neural

Neural Nets in native Haskell (by brunjlar)

fastbayes

A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling). (by cscherrer)
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neural fastbayes
0 0
118 11
- -
0.0 0.0
over 1 year ago about 7 years ago
Haskell Haskell
MIT 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.

neural

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

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

HLearn-algebra - Homomorphic machine learning

rc - Reservoir Computing, an RNN flavor

order-statistics - L-estimators and order statistics

tensorflow - Haskell bindings for TensorFlow

genetics - A Genetic Algorithm library in Haskell

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

htvm - Haskell experiments involving TVM AI framework