neural VS HLearn-algebra

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


Neural Nets in native Haskell (by brunjlar)


Homomorphic machine learning (by mikeizbicki)
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neural HLearn-algebra
0 1
118 1,587
- -
0.0 0.0
over 1 year ago about 6 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.


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.


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.

What are some alternatives?

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

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

tensorflow - Haskell bindings for TensorFlow

rc - Reservoir Computing, an RNN flavor

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

genetics - A Genetic Algorithm library 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.

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