machine-learning-with-ruby
Curated list: Resources for machine learning in Ruby
https://github.com/arbox/machine-learning-with-ruby
Last synced: about 15 hours ago
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- eps - Bayesian Classification and Linear Regression with exports
- rblearn - Feature Extraction and Crossvalidation library.
- Instruct - Inspired by Guidance; weave code, prompts and completions together to instruct LLMs to do what you want.
- LangChain.rb
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- red-chainer - Deep learning framework for Ruby.
- tensor_stream
- ruby-dnn - Simple deep learning for Ruby.
- torch-rb - Ruby bindings for [LibTorch](https://github.com/pytorch/pytorch)
- rice
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Decision trees
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Clustering
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Linear classifiers
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Bayesian methods
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Gradient boosting
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:sparkles: Tutorials
- Ruby neural networks
- How to implement linear regression in Ruby
- How to implement classification using logistic regression in Ruby
- How to implement simple binary classification using a Neural Network in Ruby
- How to implement classification using a SVM in Ruby
- Unsupervised learning using k-means clustering in Ruby
- Teaching an AI to play a simple game using Q-Learning in Ruby
- Teaching a Neural Network to play a game using Q-Learning in Ruby
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- Using the Python scikit-learn machine learning library in Ruby using PyCall
- How to _evolve_ neural networks in Ruby using the Machine Learning Workbench
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Articles, Posts, Talks, and Presentations
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- Denis Sellu
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- Prasun Anand
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- Jordan Hudgens
- [tutorial
- Geoffrey Litt
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- Kei Sawada
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- Eric Weinstein
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- Brian Sam-Bodden
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- Lorenzo Masini
- [post
- Rick Carlino
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- Benjamin Curtis
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- Vasily Vasinov
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