Awesome Machine Learning with Ruby
A curated list of awesome libraries, data sources, tutorials, and resources for machine learning using the Ruby programming language.
What is Awesome Machine Learning with Ruby?
Awesome Machine Learning with Ruby is a curated list of resources dedicated to implementing and learning about machine learning using the Ruby programming language. It compiles libraries, frameworks, tutorials, articles, and tools to help Ruby developers enter the field of ML without leaving their preferred ecosystem. The project addresses the need for a centralized, high-quality reference for ML work in Ruby.
Ruby developers and data scientists who want to explore or implement machine learning algorithms and applications within the Ruby environment. It's also valuable for researchers and educators looking for Ruby-specific ML resources.
Developers choose this list because it provides a meticulously curated, community-vetted collection that saves significant research time. It highlights the viability of Ruby for ML tasks and connects users with active libraries and a supportive community, unlike generic ML resource lists.
Overview
Curated list: Resources for machine learning in Ruby
Use Cases
Best For
- Ruby developers seeking machine learning libraries and frameworks
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
