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  1. en.wikipedia.org › wiki › Ray_(film)Ray (film) - Wikipedia

    Ray is a 2004 American biographical musical drama film focusing on 30 years in the life of soul musician Ray Charles. The independently produced film was co-produced and directed by Taylor Hackford; it was written by James L. White from a story by Hackford and White. It stars Jamie Foxx in the title role, along with Kerry Washington, Clifton Powell, Harry Lennix, Terrence Howard, Larenz Tate ...

  2. Ray Charles Robinson ( Albany, Georgia; 23 de septiembre de 1930- Beverly Hills; California, 10 de junio de 2004), más conocido como Ray Charles, fue un cantante, compositor y pianista estadounidense. Se le considera uno de los cantantes más icónicos e influyentes de la historia de la música, conocido a menudo por sus contemporáneos como ...

  3. Overview #. Overview. #. Ray is an open-source unified framework for scaling AI and Python applications like machine learning. It provides the compute layer for parallel processing so that you don’t need to be a distributed systems expert. Ray minimizes the complexity of running your distributed individual and end-to-end machine learning ...

  4. 29 de may. de 2008 · Nacido en un barrio marginal de Georgia, Ray Charles (Jamie Foxx), se quedó ciego a los 7 años, lo que no fue obstáculo para triunfar en la música, un campo en el que brilló a pesar de su ...

  5. www.youtube.com › watchRay - YouTube

    Jamie Foxx stars as the one-of-a-kind innovator of soul, Ray Charles, who overcame impossible odds and humble beginnings to become an extraordinary music leg...

  6. Getting Started. #. Use Ray to scale applications on your laptop or the cloud. Choose the right guide for your task. Scale ML workloads: Ray Libraries Quickstart. Scale general Python applications: Ray Core Quickstart. Deploy to the cloud: Ray Clusters Quickstart. Debug and monitor applications: Debugging and Monitoring Quickstart.

  7. pypi.org › project › rayray · PyPI

    3 de jun. de 2017 · Ray is a unified way to scale Python and AI applications from a laptop to a cluster. With Ray, you can seamlessly scale the same code from a laptop to a cluster. Ray is designed to be general-purpose, meaning that it can performantly run any kind of workload. If your application is written in Python, you can scale it with Ray, no other ...

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