XGBoost VS ruby-dnn

Compare XGBoost vs ruby-dnn and see what are their differences.

XGBoost

High performance gradient boosting for Ruby (by ruby-ml)

ruby-dnn

ruby-dnn is a ruby deep learning library. (by unagiootoro)
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XGBoost ruby-dnn
0 0
85 40
- -
3.5 0.0
19 days ago 12 days ago
Ruby Ruby
Apache License 2.0 MIT 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.

XGBoost

Posts with mentions or reviews of XGBoost. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning XGBoost yet.
Tracking mentions began in Dec 2020.

ruby-dnn

Posts with mentions or reviews of ruby-dnn. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning ruby-dnn yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing XGBoost and ruby-dnn you can also consider the following projects:

weka - Machine Learning & Data Mining with JRuby

LightGBM - High performance gradient boosting for Ruby

Eps - Machine learning for Ruby

Rumale - Rumale is a machine learning library in Ruby

tensorflow.rb - tensorflow for ruby

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

rb-libsvm - Ruby language bindings for LIBSVM

Scoruby - Ruby Scoring API for PMML