NanoParsec VS haskell-ml

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

NanoParsec

A simple parser combinator (by Josemarialanda)

haskell-ml

Various examples of machine learning, in Haskell. (by capn-freako)
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NanoParsec haskell-ml
1 1
0 20
- -
1.8 1.8
almost 3 years ago about 2 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.

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.

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.

What are some alternatives?

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

cool - A Cool compiler written in python.

tensorflow - Haskell bindings for TensorFlow

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

HLearn-algebra - Homomorphic machine learning

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

rc - Reservoir Computing, an RNN flavor

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.