ML with Ruby

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

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kmeans-clusterer github.com
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k-means clustering in Ruby.
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tlearn-rb github.com
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Recurrent Neural Network library for Ruby.
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lightgbm github.com
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Ruby bindings for LightGBM. [dep: LightGBM]
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liblinear-ruby github.com
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Ruby interface to LIBLINEAR using SWIG.
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pinecone github.com
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Ruby client for Pinecone Vector DB.
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qdrant-ruby github.com
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Ruby wrapper for the Qdrant vector search database API.
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brains github.com
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Feed-forward neural networks for JRuby based on brains.
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weaviate-ruby github.com
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Ruby wrapper for the Weaviate vector search database API.
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ngt-ruby github.com
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Ruby bindings for the NGT (Neighborhood Graph and Tree for Indexing High-dimensional data).
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omnicat github.com
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Generalized rack framework for text classifications.
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Instruct github.com
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Inspired by Guidance; weave code, prompts and completions together to instruct LLMs to do what you want.
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mxnet github.com
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Ruby bindings for mxnet.
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ruby-dnn github.com
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Simple deep learning for Ruby.
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ImageMagick buildpack github.com
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maxent_string_classifier github.com
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JRuby maximum entropy classifier for string data, based on the OpenNLP Maxent framework.
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annoy-rb github.com
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Ruby bindings for the Annoy (Approximate Nearest Neighbors Oh Yeah).
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knn github.com
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Simple K Nearest Neighbour Algorithm.
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cerebrum github.com
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Experimental implementation for Artificial Neural Networks in Ruby.
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milvus github.com
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Ruby client for Milvus Vector DB.
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rtimbl github.com
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Memory based learners from the Timbl framework.
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xgboost github.com
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Ruby bindings for XGBoost. [dep: XGBoost]
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machine_learning_workbench github.com
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Growing machine learning framework written in pure Ruby, high performance computing using Numo, CUDA bindings through Cumo. Currently implementating neural networks, evolutionary strategies, vector quantization, and plenty of examples and utilities.
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hnswlib.rb github.com
tool category #machine-learning-with-ruby link ↗

Ruby bindings for the Hnswlib that implements approximate nearest neighbor search with Hierarchical Navigable Small World graphs.
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rblearn github.com
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Feature Extraction and Crossvalidation library.
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simple_ga github.com
tool category #machine-learning-with-ruby link ↗

Simplest Genetic Algorithms implementation in Ruby.
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Vasily Vasinov twitter.com
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[tutorial]
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Lorenzo Masini twitter.com
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[post]
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Kei Sawada twitter.com
site category #machine-learning-with-ruby link ↗

[slides]
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Prasun Anand twitter.com
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[slides | video | slides | slides]
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Mike Perham twitter.com
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[post]
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Ilya Grigorik twitter.com
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[video]
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Geoffrey Litt twitter.com
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[slides]
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Eric Weinstein twitter.com
site category #machine-learning-with-ruby link ↗

[slides | video]
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Colin Drake twitter.com
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[post]
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Rick Carlino github.com
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[tutorial]
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Handwritten Digits Recognition github.com
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Handwritten digits recognition using Neural Networks and Ruby.
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GSL and Ruby buildpack github.com
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rann github.com
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Flexible Ruby ANN implementation with backprop (through-time, for recurrent nets), gradient checking, adagrad, and parallel batch execution.
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OpenCV and Ruby buildpack github.com
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data_modeler github.com
tool category #machine-learning-with-ruby link ↗

Model your data with machine learning. Ample test coverage, examples to start fast, complete documentation. Production ready since 1.0.0.
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Andrew Cantino twitter.com
site category #machine-learning-with-ruby link ↗

and Ryan Stout [video]
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Benjamin Curtis twitter.com
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[video | slides]
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Twitter twitter.com
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Richard Schneeman twitter.com
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[video | slides]
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Rimas Silkaitis twitter.com
site category #machine-learning-with-ruby link ↗

[post]
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Kenta Murata twitter.com
site category #machine-learning-with-ruby link ↗

& Yusaku Hatanaka [slides | page]
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Matthew Kirk twitter.com
site category #machine-learning-with-ruby link ↗

[video]
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Marcel Caraciolo twitter.com
site category #machine-learning-with-ruby link ↗

[slides]
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@kojix twitter.com
site category #machine-learning-with-ruby link ↗

[post]
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Joseph Wilk twitter.com
site category #machine-learning-with-ruby link ↗

[post]
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