ruby-machine-learning
ML library
A collection of machine learning algorithms implemented in Ruby
Some Machine Learning algorithms, implemented in Ruby
31 stars
3 watching
3 forks
Language: Ruby
last commit: about 13 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| A Ruby implementation of common machine learning algorithms and techniques | 13 |
| A machine learning library for Ruby that allows users to build predictive models quickly and easily. | 659 |
| A flexible and extensible machine learning library for Ruby | 385 |
| A comprehensive framework for practical machine learning in Ruby. | 20 |
| Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |
| Provides a JRuby wrapper around the Weka Java library for machine learning and data mining in Ruby. | 65 |
| A Ruby machine learning library providing interfaces to various algorithms | 788 |
| This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
| A collection of basic algorithms implemented in Ruby | 72 |
| A Ruby library implementing graph data structures and algorithms | 48 |
| Provides an official Ruby client for the MonkeyLearn API to build and consume machine learning models for language processing from Ruby apps. | 80 |
| Implementations of basic machine learning algorithms in Haskell | 57 |
| Provides objects and algorithms for designing, processing and training Artificial Neural Networks in Ruby. | 3 |
| Ruby language bindings for LIBSVM | 278 |
| An API for utilizing the TensorFlow machine learning framework in Ruby | 829 |