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ML with Ruby

110 items from arbox/machine-learning-with-ruby ★2,229

tools
  1. Shogun github.com
    tool category #python-data-science link ↗

    Machine learning toolbox.

  2. Repo :fire::fire::fire::fire::fire: github.com
    tool category #aws link ↗

    Machine Learning API of the Amazon Web Services.

  3. ruby-openai github.com
    tool category #ruby link ↗

    OpenAI API wrapper

  4. decisiontree github.com
    tool category #ruby link ↗

    Decision Tree ID3 Algorithm in pure Ruby. [dep: GraphViz | post].

  5. rb-libsvm github.com
    tool category #ruby link ↗

    Support Vector Machines with Ruby and the LIBSVM library. [dep: bundled]

  6. rumale github.com
    tool category #ruby link ↗

    Machine Learninig toolkit in Ruby with wide range of implemented algorithms (SVM, Logistic Regression, Linear Regression, Random Forest etc.) and interfaces similar to Scikit-Learn in Python.

  7. classifier-reborn github.com
    tool category #ruby link ↗

    General classifier module to allow Bayesian and other types of classifications. [dep: GLS]

  8. ruby-fann github.com
    tool category #ruby link ↗

    Ruby bindings to the Fast Artificial Neural Network Library (FANN).

  9. tensorflow github.com
    tool category #machine-learning-with-ruby link ↗

    Ruby bindings for TensorFlow.

  10. AI4R github.com
    tool category #ruby link ↗

    Artificial Intelligence for Ruby.

  11. flann github.com
    tool category #machine-learning-with-ruby link ↗

    Ruby bindings for the FLANN (Fast Library for Approximate Nearest Neighbors). [flann]

  12. LangChain.rb github.com
    tool category #machine-learning-with-ruby link ↗

    Build ML/AI-supercharged applications with Ruby's LangChain.

  13. weka github.com
    tool category #ruby link ↗

    JRuby bindings for Weka, different ML algorithms implemented through Weka.

  14. torch-rb github.com
    tool category #machine-learning-with-ruby link ↗

    Ruby bindings for LibTorch using rice.

  15. eps github.com
    tool category #machine-learning-with-ruby link ↗

    Bayesian Classification and Linear Regression with exports using PMML and an alternative backend using GSL.

  16. nbayes github.com
    tool category #machine-learning-with-ruby link ↗

    Full-featured, Ruby implementation of Naive Bayes.

  17. lda-ruby github.com
    tool category #machine-learning-with-ruby link ↗

    Ruby implementation of the LDA (Latent Dirichlet Allocation) for automatic Topic Modelling and Document Clustering.

  18. tensor_stream github.com
    tool category #machine-learning-with-ruby link ↗

    Ground-up and standalone reimplementation of TensorFlow for Ruby.

  19. liblinear-ruby-swig github.com
    tool category #machine-learning-with-ruby link ↗

    Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification).

  20. Scoruby github.com
    tool category #machine-learning link ↗

    Ruby scoring API for PMML (Predictive Model Markup Language).

  21. azure_mgmt_machine_learning github.com
    tool category #machine-learning-with-ruby link ↗

    Machine Learning API of the Microsoft Azure.

  22. naive_bayes github.com
    tool category #machine-learning-with-ruby link ↗

    Simple Naive Bayes classifier.

  23. linnaeus github.com
    tool category #machine-learning-with-ruby link ↗

    Redis-backed Bayesian classifier.

  24. omnicat-bayes github.com
    tool category #machine-learning-with-ruby link ↗

    Naive Bayes text classification implementation as an OmniCat classifier strategy. [dep: bundled]

  25. neural-net-ruby github.com
    tool category #machine-learning-with-ruby link ↗

    Neural network written in Ruby.

  26. Deep NeuroEvolution github.com
    tool category #machine-learning-with-ruby link ↗

    Experimental setup based on the machine_learning_workbench towards searching for deep neural networks (rather than training) using evolutionary algorithms. Applications to the OpenAI Gym using PyCall.

  27. xgb github.com
    tool category #machine-learning-with-ruby link ↗

    Ruby bindings for XGBoost. [dep: XGBoost]

  28. k_means github.com
    tool category #machine-learning-with-ruby link ↗

    Attempting to build a fast, memory efficient K-Means program.

  29. red-chainer github.com
    tool category #machine-learning-with-ruby link ↗

    Deep learning framework for Ruby.

  30. kmeans-clusterer github.com
    tool category #machine-learning-with-ruby link ↗

    k-means clustering in Ruby.

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