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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -899,6 +899,7 @@ Where to discover new Ruby libraries, projects and trends.
* [AI4R](https://github.com/sergiofierens/ai4r) - Algorithms covering several Artificial intelligence fields.
* [Awesome Machine Learning with Ruby](https://github.com/arbox/machine-learning-with-ruby) - A Curated List of Ruby Machine Learning Links and Resources.
* [langchain.rb](https://github.com/patterns-ai-core/langchainrb) - Library for building LLM-powered applications in Ruby.
* [liter-llm](https://github.com/xberg-io/liter-llm) - Universal LLM API client (Ruby binding over a Rust core) with one unified interface across 142+ providers and streaming.
* [m2cgen](https://github.com/BayesWitnesses/m2cgen) - A CLI tool to transpile trained classic ML models into a native Ruby code with zero dependencies.
* [PredictionIO Ruby SDK](https://github.com/PredictionIO/PredictionIO-Ruby-SDK) - The PredictionIO Ruby SDK provides a convenient API to quickly record your users' behavior and retrieve personalized predictions for them.
* [rb-libsvm](https://github.com/febeling/rb-libsvm) - Ruby language bindings for LIBSVM. SVM is a machine learning and classification algorithm.
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