HLearn-algebra VS order-statistics

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

HLearn-algebra

Homomorphic machine learning (by mikeizbicki)

order-statistics

L-estimators and order statistics (by ekmett)
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HLearn-algebra order-statistics
1 0
1,587 6
- -
0.0 0.0
about 6 years ago almost 8 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" 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.

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.

order-statistics

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

We haven't tracked posts mentioning order-statistics yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

tensorflow - Haskell bindings for TensorFlow

rc - Reservoir Computing, an RNN flavor

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

genetics - A Genetic Algorithm library in Haskell

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

neural - Neural Nets in native Haskell

htvm - Haskell experiments involving TVM AI framework

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

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