machine-learning-with-ruby

LangChain.rb

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

weka

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

ai4r

- Artificial Intelligence for Ruby

classifier-reborn

- General classifier module to allow Bayesian and other types of classifications

scoruby

- Ruby scoring API for (Predictive Model Markup Language)

rblearn

Feature Extraction and Crossvalidation library

data_modeler

- Model your data with machine learning. Ample test coverage, examples to start fast, complete documentation. Production ready since 1.0.0

shogun

Polyfunctional and mature machine learning toolbox with

aws-sdk-machinelearning

- Machine Learning API of the Amazon Web Services

azure_mgmt_machine_learning

- Machine Learning API of the Microsoft Azure

machine_learning_workbench

- Growing machine learning framework written in pure Ruby, high performance computing using , CUDA bindings through . Currently implementating neural networks, evolutionary strategies, vector quantization, and plenty of examples and utilities

Deep NeuroEvolution

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

rumale

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

eps

Bayesian Classification and Linear Regression with exports using and an alternative backend using

ruby-openai

OpenAI API wrapper

neural-net-ruby

- Neural network written in Ruby

ruby-fann

- Ruby bindings to the

cerebrum

- Experimental implementation for Artificial Neural Networks in Ruby

tlearn-rb

- Recurrent Neural Network library for Ruby

brains

- Feed-forward neural networks for JRuby based on

machine_learning_workbench

- Framework including pure-Ruby implementation of both feed-forward and recurrent neural networks (fully connected). Training available using neuroevolution (Natural Evolution Strategies algorithms)

rann

- Flexible Ruby ANN implementation with backprop (through-time, for recurrent nets), gradient checking, adagrad, and parallel batch execution

tensor_stream

- Ground-up and standalone reimplementation of TensorFlow for Ruby

red-chainer

Deep learning framework for Ruby

tensorflow

Ruby bindings for

ruby-dnn

Simple deep learning for Ruby

torch-rb

Ruby bindings for using

mxnet

Ruby bindings for

rb-libsvm

- Support Vector Machines with Ruby and the library

machine_learning_workbench

- Framework including pure-Ruby implementations of Natural Evolution Strategy algorithms (black-box optimization), specifically Exponential NES (XNES), Separable NES (sNES), Block-Diagonal NES (BDNES) and more. Applications include neural network search/training (neuroevolution)

simple_ga

- Simplest Genetic Algorithms implementation in Ruby

linnaeus

- Redis-backed Bayesian classifier

naive_bayes

- Simple Naive Bayes classifier

nbayes

- Full-featured, Ruby implementation of Naive Bayes

decisiontree

- Decision Tree ID3 Algorithm in pure Ruby.

kmeans-clusterer

- k-means clustering in Ruby

k_means

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

knn

- Simple K Nearest Neighbour Algorithm

liblinear-ruby-swig

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

liblinear-ruby

- Ruby interface to LIBLINEAR using SWIG

rtimbl

- Memory based learners from the Timbl framework

lda-ruby

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

maxent_string_classifier

- JRuby maximum entropy classifier for string data, based on the OpenNLP Maxent framework

omnicat

- Generalized rack framework for text classifications

omnicat-bayes

- Naive Bayes text classification implementation as an OmniCat classifier strategy

xgboost

— Ruby bindings for XGBoost

xgb

— Ruby bindings for XGBoost

lightgbm

— Ruby bindings for LightGBM

flann

- Ruby bindings for the (Fast Library for Approximate Nearest Neighbors)

annoy-rb

- Ruby bindings for the (Approximate Nearest Neighbors Oh Yeah)

hnswlib.rb

- Ruby bindings for the that implements approximate nearest neighbor search with Hierarchical Navigable Small World graphs

ngt-ruby

- Ruby bindings for the (Neighborhood Graph and Tree for Indexing High-dimensional data)

milvus

— Ruby client for Milvus Vector DB

pinecone

— Ruby client for Pinecone Vector DB

qdrant-ruby

— Ruby wrapper for the Qdrant vector search database API

weaviate-ruby

— Ruby wrapper for the Weaviate vector search database API

phashion

- Ruby wrapper around pHash, the perceptual hash library for detecting duplicate multimedia files

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Wine Clustering

- Wine quality estimations clustered with different algorithms

simple_ga

- Basic (working) demo of Genetic Algorithms in Ruby

Handwritten Digits Recognition

- Handwritten digits recognition using Neural Networks and Ruby

. . O'Reilly, 2014

- Blog about Artificial Intelligence and Machine Learning with tutorials and code samples in Ruby

Awesome Ruby

- Among other awesome items a short list of NLP related projects

Ruby NLP

- State-of-Art collection of Ruby libraries for NLP

Speech and Natural Language Processing

- General List of NLP related resources (mostly not for Ruby programmers)

- Linear Algebra, Visualization and Scientific Computing for Ruby

iRuby

IRuby kernel for Jupyter (formerly IPython)

Kiba

- Lightweight (Extract, Transform, Load) pipeline

Awesome OCR

- Multitude of OCR (Optical Character Recognition) resources

Awesome TensorFlow

- Machine Learning with TensorFlow libraries

rb-gsl

- Ruby interface to the

- Modern Reference and Tutorial on Embedding and Extending Ruby using C programming language