Ruby neural networks

How to implement linear regression in Ruby

[code]

How to implement classification using logistic regression in Ruby

How to implement simple binary classification using a Neural Network in Ruby

[code]

How to implement classification using a SVM in Ruby

[code]

Unsupervised learning using k-means clustering in Ruby

[code]

Teaching an AI to play a simple game using Q-Learning in Ruby

[code]

Teaching a Neural Network to play a game using Q-Learning in Ruby

[code]

Using the Python scikit-learn machine learning library in Ruby using PyCall

[code]

How to evolve neural networks in Ruby using the Machine Learning Workbench

Machine Learning

algorithms in pure Ruby or written in other programming languages with appropriate bindings for 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. [dep: GLS]

scoruby

Ruby scoring API for PMML (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 Ruby bindings.

aws-sdk-machinelearning

Machine Learning API of the Amazon Web Services.

azure_mgmt_machine_learning

Machine Learning API of the Microsoft Azure.

How to evolve neural networks in Ruby using the Machine Learning Workbench

Deep NeuroEvolution

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.

rumale

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.

eps

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

ruby-openai

OpenAI API wrapper

Instruct

Inspired by Guidance; weave code, prompts and completions together to instruct LLMs to do what you want.

neural-net-ruby

Neural network written in Ruby.

ruby-fann

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

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 brains.

How to evolve neural networks in Ruby using the Machine Learning Workbench

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 TensorFlow.

ruby-dnn

Simple deep learning for Ruby.

torch-rb

Ruby bindings for LibTorch using rice.

mxnet

Ruby bindings for mxnet.

rb-libsvm

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

How to evolve neural networks in Ruby using the Machine Learning Workbench

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. [dep: GraphViz | post].

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 LDA (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. [dep: bundled]

xgboost

Ruby bindings for XGBoost. [dep: XGBoost]

xgb

Ruby bindings for XGBoost. [dep: XGBoost]

lightgbm

Ruby bindings for LightGBM. [dep: LightGBM]

flann

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

annoy-rb

Ruby bindings for the Annoy (Approximate Nearest Neighbors Oh Yeah).

hnswlib.rb

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

ngt-ruby

Ruby bindings for the NGT (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. [ImageMagick | libjpeg]

Wine Clustering

Wine quality estimations clustered with different algorithms.

simple_ga

Simplest Genetic Algorithms implementation in Ruby.

Handwritten Digits Recognition

Handwritten digits recognition using Neural Networks and Ruby.

GSL and Ruby buildpack

OpenCV and Ruby buildpack

ImageMagick buildpack

Kirk, Matthew

. Thoughtful Machine Learning: A Test-Driven Approach. O'Reilly, 2014. [Amazon | code]

Practical Artificial Intelligence

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

SciRuby Mailing List

An active mailing list and an excellent resource to ask questions and learn fine-grained details about DDD/CQRS.

SciRuby Slack

Red Data Gitter

Reddit

Stack Overflow

Twitter

NonWebRuby

Ruby AI Builders Discord

X Ruby AI group

Mastodon Ruby AI and Data group

LightGBM

Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

OpenCV

An open source computer vision and machine learning library with extensive support for image and video analysis. Often used for video processing tasks like object detection, tracking, and filtering.

Graphviz

Cross-platform software to draw graphs in the DOT graph drawing language.

Gnuplot

X11/XQuartz

X.Org X Window System server for running X11 applications on macOS. 🍎 🟢

ImageMagick

R

R is a free software environment for statistical computing and graphics.

Octave

is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and…

scikit-learn algorithm cheatsheet

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).

Scientific Ruby

Linear Algebra, Visualization and Scientific Computing for Ruby.

iRuby

IRuby kernel for Jupyter (formerly IPython).

Kiba

Lightweight ETL (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 GNU Scientific Library.

The Definitive Guide to Ruby's C API

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