neural VS order-statistics

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

neural

Neural Nets in native Haskell (by brunjlar)

order-statistics

L-estimators and order statistics (by ekmett)
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neural order-statistics
0 0
118 6
- -
0.0 0.0
almost 2 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.

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.

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 neural and order-statistics 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

rc - Reservoir Computing, an RNN flavor

genetics - A Genetic Algorithm library in Haskell

tensorflow - Haskell bindings for TensorFlow

htvm - Haskell experiments involving TVM AI framework

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

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