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Anyscale
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anyscale
110 Decks
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Ray Internals: Object Management with the Ownership Model (Stephanie Wang & Yi Cheng, Anyscale)
anyscale
PRO
0
240
Neural MMO: Building a Massively Multiagent Research Platform with Ray and RLlib (Joseph Suarez, MIT | Neural MMO)
anyscale
PRO
0
200
Human-in-the-Loop Reinforcement Learning (Pieter Abbeel, UC Berkeley | Covariant | The Robot Brains Podcast)
anyscale
PRO
0
250
Using Reinforcement Learning to Optimize IAP Offer Recommendations in Mobile Games (Emiliano Castro, Vinicius Alves, & Felipe Antunes, Wildlife Studios)
anyscale
PRO
0
370
Scaling Interactive Data Science with Modin and Ray (Devin Petersohn, UC Berkeley))
anyscale
PRO
0
110
Per-epoch Shuffling Data Loader: Mix It Up As You Train! (Clark Zinzow, Anyscale)
anyscale
PRO
0
320
W&B Tables and Ray (Chris Van Pelt, Weights & Biases)
anyscale
PRO
0
110
Data Processing on Ray (SangBin Cho, Anyscale)
anyscale
PRO
0
120
Detection of Sensitive Personal Data in Large Data Sets Using Ray with Deep Learning (Srinivasa Rao Aravilli, Visa)
anyscale
PRO
0
200
The Quick Journey to Using Ray: How We Implement Ray and Anyscale to Speed up our ML Processes (Juan Roberto Honorato & Domingo Ortuzar, Anastasia)
anyscale
PRO
0
63
Petabyte Scale Datalake Table Management with Ray, Arrow, Parquet, and S3 (Patrick Ames, Amazon)
anyscale
PRO
0
490
State of Ray (Robert Nishihara, Anyscale)
anyscale
PRO
0
120
Making Distributed Computing Easy (Ion Stoica, Anyscale)
anyscale
PRO
0
80
Anyscale Demo: Machine Learning Application from Dev to Prod (Edward Oakes, Anyscale)
anyscale
PRO
0
250
End-to-End AutoML with Ludwig on Ray (Travis Addair)
anyscale
PRO
0
300
Offline Reinforcement Learning with RLlib (Edi Palencia)
anyscale
PRO
0
470
Ray Serve: Patterns of ML Models in Production (Simon Mo)
anyscale
PRO
0
260
A 24x Speedup for Reinforcement Learning with RLlib + Ray (Raoul Khouri, Two Sigma)
anyscale
PRO
0
530
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