haskell-ml VS simple-genetic-algorithm

Compare haskell-ml vs simple-genetic-algorithm and see what are their differences.

haskell-ml

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

simple-genetic-algorithm

Simple genetic algorithm implemented in Haskell (by Josemarialanda)
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haskell-ml simple-genetic-algorithm
1 1
19 0
- -
1.8 2.6
about 2 years ago over 2 years ago
Haskell C
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.

simple-genetic-algorithm

Posts with mentions or reviews of simple-genetic-algorithm. 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 simple-genetic-algorithm you can also consider the following projects:

tensorflow - Haskell bindings for TensorFlow

PSO - Particle swarm optimization algorithm implemented in Python

HLearn-algebra - Homomorphic machine learning

ad - Automatic Differentiation

rc - Reservoir Computing, an RNN flavor

swoogle - A Star Wars search engine

order-statistics - L-estimators and order statistics

cool - A Cool compiler written in python.

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).