Time series forecasting for Ruby

Simple, powerful data frames for Ruby

Recommendations for Ruby and Rails using collaborative filtering

Optional optimizer bundle for DSPy.rb that ships the MIPROv2 teleprompter, Gaussian Process backend, and supporting dependencies for Bayesian optimization.

Efficient similarity search and clustering for Ruby

GR framework - the graphics library for visualisation - for Ruby

Save and load NumPy npy and npz files in Ruby

Computer vision datasets, transforms, and models for Ruby

The Ruby library, Documentrix, is designed to provide a way to build and query vector databases for applications in natural language processing (NLP) and large language models (LLMs). It allows users to store and retrieve dense vector embeddings for text strings.

Determines file content types using original Magika's ONNX model

N-Dimensional Array View for Numo::NArray

Numo::Liblinear is a Ruby gem binding to the LIBLINEAR library. LIBLINEAR is one of the famous libraries for large-scale regularized linear classification and regression. Numo::Liblinear makes to use the LIBLINEAR functions with dataset represented by Numo::NArray.

Numo::Libsvm is a Ruby gem binding to the LIBSVM library. LIBSVM is one of the famous libraries that implemented Support Vector Machines, and provides functions for support vector classifier, regression, and distribution estimation. Numo::Libsvm makes to use the LIBSVM functions with dataset represented by Numo::NArray.

Numo::Linalg Alternative (numo-linalg-alt) is an alternative to Numo::Linalg. Unlike Numo::Linalg, numo-linalg-alt depends on Numo::NArray Alternative (numo-narray-alt).

Numo::Linalg.randsvd is a module function on Numo::Linalg for truncated singular value decomposition with randomized algorithm.

Numo::Optimize provides functions for minimizing objective functions.

Numo::Pocketfft provides functions for descrete Fourier Transform based on pocketfft.

Numo::Random provides random number generation with several distributions for Numo::NArray.

Torch::Tensor support for ONNX Runtime

High performance t-SNE for Ruby