gptkbp:instance_of
|
gptkb:software_framework
|
gptkbp:bfsLayer
|
7
|
gptkbp:bfsParent
|
gptkb:Ray_Team
|
gptkbp:developed_by
|
gptkb:Anyscale
|
gptkbp:has_community
|
gptkb:Ray_community
|
gptkbp:has_documentation
|
https://docs.ray.io
|
gptkbp:has_events
|
Ray Community Meetups
Ray Conferences
Ray Hackathons
Ray Summit
Ray Workshops
|
gptkbp:has_feature
|
fault tolerance
task scheduling
dynamic resource allocation
actor model
|
gptkbp:has_version
|
1.0.0
2.0.0
2.3.0
2.1.0
2.2.0
|
gptkbp:has_website
|
https://ray.io
|
https://www.w3.org/2000/01/rdf-schema#label
|
Ray Framework
|
gptkbp:integrates_with
|
gptkb:Graphics_Processing_Unit
gptkb:Pandas
gptkb:Py_Torch
gptkb:skincare_product
gptkb:Num_Py
|
gptkbp:is_a_hub_for
|
https://github.com/ray-project/ray
|
gptkbp:is_compatible_with
|
gptkb:lake
gptkb:fortification
|
gptkbp:is_used_for
|
distributed computing
|
gptkbp:language
|
gptkb:Library
|
gptkbp:license
|
Apache License 2.0
|
gptkbp:performance
|
Ray vs Dask
Ray vs MPI
Ray vs Spark
|
gptkbp:project
|
https://github.com/ray-project/ray/tree/master/python/ray/examples
|
gptkbp:provides
|
parallelism
scalability
|
gptkbp:released
|
gptkb:2017
|
gptkbp:supports
|
gptkb:software_framework
data processing
|
gptkbp:tutorials
|
https://docs.ray.io/en/latest/tutorials/index.html
|
gptkbp:use_case
|
gptkb:aircraft
data analytics
hyperparameter tuning
reinforcement learning
model training
|
gptkbp:user_base
|
gptkb:architect
gptkb:physicist
gptkb:software
data scientists
|