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Downgrading reference count logging to DEBUG
Ray
Ray is an experimental distributed execution framework with a Python-like programming model. It is under development and not ready for general use.
Example Code
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Design Decisions
For a description of our design decisions, see
Setup
- sudo apt-get update
- sudo apt-get install git
- git clone https://github.com/amplab/ray.git
- cd ray
- ./setup.sh
Description
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.
Languages
Python
56.6%
C++
28.8%
Java
8.5%
TypeScript
1.7%
Starlark
1.4%
Other
2.8%