ML with Ruby

110 items from arbox/machine-learning-with-ruby ★2,228

0

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

Machine learning toolbox.
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Repo :fire::fire::fire::fire::fire: github.com
tool category #aws link ↗

Machine Learning API of the Amazon Web Services.
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ruby-openai github.com
tool category #ruby link ↗

OpenAI API wrapper
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decisiontree github.com
tool category #ruby link ↗

Decision Tree ID3 Algorithm in pure Ruby. [dep: GraphViz | post].
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rb-libsvm github.com
tool category #ruby link ↗

Support Vector Machines with Ruby and the LIBSVM library. [dep: bundled]
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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.
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classifier-reborn github.com
tool category #ruby link ↗

General classifier module to allow Bayesian and other types of classifications. [dep: GLS]
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ruby-fann github.com
tool category #ruby link ↗

Ruby bindings to the Fast Artificial Neural Network Library (FANN).
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tensorflow github.com
tool category #machine-learning-with-ruby link ↗

Ruby bindings for TensorFlow.
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AI4R github.com
tool category #ruby link ↗

Artificial Intelligence for Ruby.
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flann github.com
tool category #machine-learning-with-ruby link ↗

Ruby bindings for the FLANN (Fast Library for Approximate Nearest Neighbors). [flann]
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LangChain.rb github.com
tool category #machine-learning-with-ruby link ↗

Build ML/AI-supercharged applications with Ruby's LangChain.
0

Coordinated Omission problem groups.google.com
site category #jvm link ↗

Discussion on Mechanical Sympathy.
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weka github.com
tool category #ruby link ↗

JRuby bindings for Weka, different ML algorithms implemented through Weka.
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torch-rb github.com
tool category #machine-learning-with-ruby link ↗

Ruby bindings for LibTorch using rice.
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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.
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nbayes github.com
tool category #machine-learning-with-ruby link ↗

Full-featured, Ruby implementation of Naive Bayes.
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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.
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tensor_stream github.com
tool category #machine-learning-with-ruby link ↗

Ground-up and standalone reimplementation of TensorFlow for Ruby.
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liblinear-ruby-swig github.com
tool category #machine-learning-with-ruby link ↗

Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification).
0

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

Ruby scoring API for PMML (Predictive Model Markup Language).
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azure_mgmt_machine_learning github.com
tool category #machine-learning-with-ruby link ↗

Machine Learning API of the Microsoft Azure.
0

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

Simple Naive Bayes classifier.
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linnaeus github.com
tool category #machine-learning-with-ruby link ↗

Redis-backed Bayesian classifier.
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omnicat-bayes github.com
tool category #machine-learning-with-ruby link ↗

Naive Bayes text classification implementation as an OmniCat classifier strategy. [dep: bundled]
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neural-net-ruby github.com
tool category #machine-learning-with-ruby link ↗

Neural network written in Ruby.
0

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.
0

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

Ruby bindings for XGBoost. [dep: XGBoost]
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k_means github.com
tool category #machine-learning-with-ruby link ↗

Attempting to build a fast, memory efficient K-Means program.
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red-chainer github.com
tool category #machine-learning-with-ruby link ↗

Deep learning framework for Ruby.
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