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0.0
The project is in a healthy, maintained state
Abstract Syntax Tree building language with a recursive descent parser
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0.0
Low commit activity in last 3 years
A long-lived project that still receives updates
Builds a tree of errors instead of the 1-dimension one generated by ActiveMode::Base#errors.messages.
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0.01
Low commit activity in last 3 years
A long-lived project that still receives updates
Fully featured tree implementation for Mongoid using the nested set model
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0.0
The project is in a healthy, maintained state
A Ruby extension implementing the R-tree spatial-index of Guttman-Green.
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0.04
Low commit activity in last 3 years
There's a lot of open issues
A long-lived project that still receives updates
Sort Tree or List Structures by Drag n Drop
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0.0
Repository is gone
Lists your files and directories in your git repository as a tree e.g. `git-tree config/`
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0.25
The project is in a healthy, maintained state
Rumale::Ensemble provides ensemble learning algorithms, such as AdaBoost, Gradient Tree Boosting, and Random Forest, with Rumale interface.
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A long-lived project that still receives updates
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
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0.25
The project is in a healthy, maintained state
Rumale::Tree provides classifier and regression based on decision tree algorithms with Rumale interface.
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0.0
A long-lived project that still receives updates
This library uses the output of the ps command to creaste process tree data structure for the current host.
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A long-lived project that still receives updates
This gem facilitates modeling a test suite that is written in Gherkin (e.g. Cucumber, SpecFlow, Lettuce, etc.). It does this by providing an abstraction layer on top of the Abstract Syntax Tree that the 'cucumber-gherkin' gem generates when parsing features, as well as providing models for feature files and directories in order to be able to have a fully traversable model tree of a test suite's structure. These models can then be analyzed or manipulated more easily than the underlying AST layer.
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0.04
A long-lived project that still receives updates
A library for parsing equations into an abstract syntax tree for evaluation
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