order-statistics VS neural

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

order-statistics

L-estimators and order statistics (by ekmett)

neural

Neural Nets in native Haskell (by brunjlar)
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order-statistics neural
0 0
6 118
- -
0.0 0.0
about 8 years ago almost 2 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.

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.

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.

What are some alternatives?

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

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

HLearn-algebra - Homomorphic machine learning

tensorflow - Haskell bindings for TensorFlow

rc - Reservoir Computing, an RNN flavor

genetics - A Genetic Algorithm library in Haskell

htvm - Haskell experiments involving TVM AI framework

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

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