ruby-dnn is a ruby deep learning library.

rubydown is R Markdown clone for Rubyists.

Computer vision datasets, transforms, and models for Ruby

High performance t-SNE for Ruby

High performance factorization machines for Ruby

An AI-powered Ruby library that performs comprehensive on-device compromise detection for mobile applications. Features include root/jailbreak detection, emulator detection, hooking framework detection, application integrity checks, advanced network security analysis with certificate pinning and proxy detection, enterprise policy management, AI behavioral analysis, and RASP protection - all without requiring a backend.

Anngler is an approximate nearest neighbor search for points in n-dimensional space that are close in terms of cosine distance to a given point. The gem is built with serverless architecture in mind with Redis but it also offers a local in-memory storage.

A gem for loading, decoding, processing and analyse audio.

A Ruby implementation of the Broadlistening pipeline for clustering and analyzing public comments using LLM

satellite orbit calculation, power calculation, etc.

CArray interface to Numo::NArray

OpenAI CLIP embeddings, uses ONNX models. Allows to create embeddings for images and text

dAImond is a PyTorch-inspired deep learning framework for Ruby featuring automatic differentiation, neural networks, and a high-performance Rust backend for tensor operations. Achieves 89%+ accuracy on MNIST.

A comprehensive forensic deepfake detection toolkit designed for law enforcement, military, and national security applications. Features AI/ML detection algorithms, forensic reporting, and court-admissible evidence generation with high accuracy deepfake detection for video, audio, and image files.

High level plug-and-play interface for composing Machine Learning applications

Ruby implementation of the parsing and computation of ephemerides from NASA/JPL Development Ephemerides DE4xx and IMCCE INPOP

DEPRECATED PROJECT. MIGRATED TO PYTHON: https://github.com/seoanezonjic/py_exp_calc. To expand ruby math operations this gem call to others such as Numo:narray and others and implements methods onto them to deal with our needs

Gaussian Filter

Reaction diffusion system (Gray-Scott model).

Hanny is a Hash-based Approximate Nearest Neighbor (ANN) search library in Ruby. Hash-based ANN converts vector data into binary codes and builds a hash table by using the binary codes as hash keys. To build the hash table, Hanny uses Locality Sensitive Hashing (LSH) of approximating cosine similarity. It is known that if the code length is sufficiently long (ex. greater than 128-bit), LSH can obtain high search performance. In the experiment, Hanny achieved about twenty times faster search speed than the brute-force search by Euclidean distance.