haskell-ml VS NanoParsec

Compare haskell-ml vs NanoParsec and see what are their differences.

haskell-ml

Various examples of machine learning, in Haskell. (by capn-freako)

NanoParsec

A simple parser combinator (by Josemarialanda)
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haskell-ml NanoParsec
1 1
19 0
- -
1.8 1.8
about 2 years ago almost 3 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.

haskell-ml

Posts with mentions or reviews of haskell-ml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-04.

NanoParsec

Posts with mentions or reviews of NanoParsec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-04.

What are some alternatives?

When comparing haskell-ml and NanoParsec you can also consider the following projects:

tensorflow - Haskell bindings for TensorFlow

cool - A Cool compiler written in python.

HLearn-algebra - Homomorphic machine learning

c-scikit-learn - C bindings for scikit-learn

rc - Reservoir Computing, an RNN flavor

backprop - Heterogeneous automatic differentiation ("backpropagation") in Haskell

order-statistics - L-estimators and order statistics

htvm - Haskell experiments involving TVM AI framework

neural - Neural Nets in native Haskell

genetics - A Genetic Algorithm library in Haskell

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

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