rice VS Rumale

Compare rice vs Rumale and see what are their differences.

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rice Rumale
1 1
366 741
1.9% -
8.7 8.1
about 2 months ago about 1 month ago
C++ Ruby
GNU General Public License v3.0 or later 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.

rice

Posts with mentions or reviews of rice. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-11.
  • UMAP clustering in Ruby
    9 projects | dev.to | 11 Oct 2022
    There are two ways to write Ruby extensions in C++. One is Rice and the other is extpp. In this case, I used Rice because I wanted to use numo.hpp to link Numo::NArray and C++.

Rumale

Posts with mentions or reviews of Rumale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-11.
  • UMAP clustering in Ruby
    9 projects | dev.to | 11 Oct 2022
    Ruby users often use Rumale for machine learning. t-SNE is included in Rumale, but UMAP is not.

What are some alternatives?

When comparing rice and Rumale you can also consider the following projects:

umap - Uniform Manifold Approximation and Projection

tensorflow.rb - tensorflow for ruby

numo-narray - Ruby/Numo::NArray - New NArray class library

Ruby Linear Regression - Linear regression implemented in Ruby.

umappp - UMAP C++ implementation

Eps - Machine learning for Ruby

ruby-umappp - Uniform Manifold Approximation and Projection for Ruby

XGBoost - High performance gradient boosting for Ruby

uwot - An R package implementing the UMAP dimensionality reduction method.

Edits - Edit distance algorithms inc. Jaro, Damerau-Levenshtein, and Optimal Alignment

LightGBM - High performance gradient boosting for Ruby

ruby-dnn - ruby-dnn is a ruby deep learning library.