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An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Home Page: https://ray.io

License: Apache License 2.0

Shell 0.46% JavaScript 0.01% C++ 19.99% Python 72.49% C 0.12% Java 3.50% PowerShell 0.01% TypeScript 1.27% CSS 0.03% Makefile 0.01% HTML 0.10% Jupyter Notebook 0.01% Cython 0.77% Dockerfile 0.06% Starlark 1.18% Jinja 0.02%

ray's Introduction

Hi, I'm Peyton.

I'm a software engineer working at Quansight.

I am passionate about open source, data viz, accessibility, and open science, and have contributed to a bunch of open source projects, mostly in the Python data ecosystem.

Background

  • During my doctoral work I studied nanoscale magnetic materials at UC Davis under Kai Liu.
  • As a postdoctoral scholar at Tampere University, I studied magnetic properties using computational models with the Computational Physics Laboratory under Lasse Laurson.
  • After leaving academia, I've worked as a software engineer on a wide range of projects.

Interests

  • Open source software
  • Open science
  • Data visualization
  • Accessibility
  • Developer tooling; life in the terminal

ray's People

Contributors

amogkam avatar architkulkarni avatar arturniederfahrenhorst avatar bveeramani avatar clarkzinzow avatar dmitrigekhtman avatar edoakes avatar ericl avatar ffbin avatar gjoliver avatar ijrsvt avatar iycheng avatar jjyao avatar jovany-wang avatar kouroshhakha avatar krfricke avatar mehrdadn avatar mwtian avatar pcmoritz 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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