Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.
Ray is an open source framework that helps you build and scale your machine learning and Python applications. Whether you're working on data preprocessing, model training, hyperparameter tuning, or deploying models, Ray provides a set of powerful libraries and tools to make these tasks easier and more efficient.
With Ray, you can move from a single laptop to a large cluster without changing your code, making it ideal for researchers, data scientists, and developers who want to focus on their work instead of infrastructure. The platform includes resources, example galleries, and hands-on tutorials to help you get started quickly.
Ray stands out for its flexibility and its active community, offering guides, user stories, and a discussion forum where you can connect and get support. If you're looking to streamline and scale your Python or machine learning projects, Ray offers a unified environment to help you do just that.
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