eps
Ruby ML library
A machine learning library for Ruby that allows users to build predictive models quickly and easily.
Machine learning for Ruby
659 stars
19 watching
15 forks
Language: Ruby
last commit: almost 2 years agoLinked from 1 awesome list
automlmachine-learningrubyml
arbox/machine-learning-with-rubyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kei500/liblinear-ruby | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |
| ankane/lightgbm-ruby | A high-performance gradient boosting library for Ruby | 75 |
| ankane/torch.rb | A Ruby implementation of deep learning libraries inspired by PyTorch. | 739 |
 danielsdeleo/decider | A flexible and extensible machine learning library for Ruby | 385 |
| ankane/ngt-ruby | A high-performance approximate nearest neighbors search library for Ruby | 52 |
 tsycho/ruby-machine-learning | A collection of machine learning algorithms implemented in Ruby | 31 |
 yoshoku/rumale | A Ruby machine learning library providing interfaces to various algorithms | 788 |
| ankane/fasttext-ruby | Efficient text classification and representation learning library for Ruby | 204 |
| ankane/torchvision-ruby | A Ruby library providing computer vision datasets, transforms, and models for use in machine learning applications. | 39 |
| ankane/xgboost-ruby | High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm | 106 |
 mizor/machine-learning-ruby | A Ruby implementation of common machine learning algorithms and techniques | 13 |
 mikecmpbll/rann | Provides objects and algorithms for designing, processing and training Artificial Neural Networks in Ruby. | 3 |
 paulgoetze/weka-jruby | Provides a JRuby wrapper around the Weka Java library for machine learning and data mining in Ruby. | 65 |
| ankane/trove | A tool that allows developers to deploy and manage machine learning models in Ruby applications | 67 |
 himkt/rblearn | A Ruby library for natural language processing and machine learning with support for cross-validation and feature extraction. | 2 |