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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

Home Page: https://ray.io

License: Apache License 2.0

Shell 0.48% JavaScript 0.01% C++ 21.28% Python 71.06% C 0.13% Java 3.87% PowerShell 0.01% TypeScript 0.91% CSS 0.04% Makefile 0.01% HTML 0.11% Jupyter Notebook 0.01% Cython 0.80% Dockerfile 0.07% Starlark 1.20% Jinja 0.02%

ray's Introduction

Hi there, I'm Dean 👋

I'm a Software Engineer, Student, and Tennis Player!

  • 🌱 I’m working towards both a Master's and Bachelor's degree in Computer Science (Artificial Intelligence and Computer Systems tracks, respectively) at Stanford.
  • 📫 How to reach me: [email protected].
  • ⚡ Fun fact: I learned to use the abacus for ten years and can multiply 3 digit numbers together in my head.

Connect with me:

codeSTACKr.com codeSTACKr | LinkedIn


Languages and Tools:

Programming Languages

Python C++ C JavaScript Swift Kotlin Java HTML5 CSS3 LaTeX

Tools

TensorFlow AWS Azure React Node.js MongoDB

Utilities

Visual Studio Code Git GitHub Terminal Linux Arduino iOS Android

More:

Dean's GitHub stats Dean's top languages

ray's People

Contributors

amogkam avatar architkulkarni avatar arturniederfahrenhorst avatar clarkzinzow avatar dmitrigekhtman avatar edoakes avatar ericl avatar ffbin avatar gjoliver avatar ijrsvt avatar iycheng avatar jjyao avatar jovany-wang avatar kfstorm avatar krfricke avatar mehrdadn avatar mwtian avatar pcmoritz avatar raulchen avatar richardliaw avatar rkooo567 avatar robertnishihara avatar scv119 avatar simon-mo avatar stephanie-wang avatar suquark avatar sven1977 avatar wuisawesome avatar xwjiang2010 avatar yard1 avatar

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