#Bayesian

A comprehensive collection of Ruby machine learning libraries, data sources, and tutorials tailored for developers at all levels. Curated by The Ruby Science Foundation, this list offers frameworks, neural networks, deep learning, and more, without exaggeration. It fosters knowledge-sharing through project examples, articles, and community engagement without overstating contributions. Explore practical tools and resources to enhance machine learning projects with Ruby.

Edward2 is a simple-to-use probabilistic programming language that integrates seamlessly with deep learning ecosystems. It supports TensorFlow, JAX, and NumPy backends, enabling flexible model training and inference. Users can leverage Bayesian methods, create probabilistic models, and apply transformations for model optimization. Ideal for research and practical applications in AI.