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ray-project
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ray-educational-materials
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
Apache License 2.0
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Issue 16
#18
emmyscode
closed
2 years ago
0
[Suggestion]: add "Part 3" to the Overview of Ray
#17
kamil-kaczmarek
closed
1 year ago
0
[Suggestion]: Ray use cases section should split simple scaling vs advanced use cases
#16
ericl
closed
2 years ago
2
[Suggestion]: Better examples for ML practitioner
#15
kamil-kaczmarek
closed
2 years ago
1
Inference part 1 and 2
#14
kamil-kaczmarek
closed
2 years ago
0
Added templates and badges
#13
kamil-kaczmarek
closed
2 years ago
0
minor nits; overall a good and comprehensive overview
#12
dmatrix
closed
2 years ago
1
First Pass Coding Exercises to "Intro to Ray AIR"
#11
emmyscode
closed
2 years ago
1
Update Ray_Core_2_Remote_Objects.ipynb
#10
jcoffi
closed
2 years ago
0
readme table formatting and rename module
#9
kamil-kaczmarek
closed
2 years ago
0
overview of Ray
#8
kamil-kaczmarek
closed
2 years ago
0
Introduction to Ray AIR - RLlib & Coding Exercises
#7
emmyscode
closed
2 years ago
2
revert intro-to-ray
#6
kamil-kaczmarek
closed
2 years ago
0
migrate ray core
#5
kamil-kaczmarek
closed
2 years ago
0
New Version: Introduction to Ray
#4
emmyscode
closed
2 years ago
0
Kk/organize folders
#3
kamil-kaczmarek
closed
2 years ago
0
Introduction to Ray AIR - 1t iter
#2
kamil-kaczmarek
closed
2 years ago
0
Intro to ray v0
#1
kamil-kaczmarek
closed
2 years ago
0
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