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Top Stories published by RAPIDS AI in December of 2020
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2020
December
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Hugo Linsenmaier
in
RAPIDS AI
Dec 3, 2020
Large Graph Visualization with RAPIDS cuGraph
New Accelerated Force Atlas 2 API processes and…
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83
Victor Lafargue
in
RAPIDS AI
Dec 9, 2020
Scaling kNN to New Heights Using RAPIDS cuML and Dask
A distributed multi-node, multi-GPU…
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84
Devin Robison
in
RAPIDS AI
Dec 15, 2020
An End to End Guide to Hyperparameter Optimization using RAPIDS and MLflow on Google’s Kubernetes Engine (GKE)
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48
Rick Zamora
in
RAPIDS AI
Dec 11, 2020
NVTabular: All-in on Dask
A highly-efficient multi-GPU backend for scaling Recommender Pipelines
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33
Josh Patterson
in
RAPIDS AI
Dec 14, 2020
RAPIDS Release 0.17: The Gift that Keeps on Accelerating
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51
Bianca Rhodes US
in
RAPIDS AI
Dec 16, 2020
Detecting Malicious IoT Network Traffic using RAPIDS Forest Inference Library (FIL) and cuStreamz
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113
Akshit Arora
in
RAPIDS AI
Dec 17, 2020
How to Guide: Using RAPIDS on JFrog Artifactory
Covers setup of remote repositories on Artifactory 7.x…
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150
November 2020
About
RAPIDS AI
RAPIDS is a suite of software libraries for executing end-to-end data science & analytics pipelines entirely on GPUs.
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Tamás Fehér
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Ajay Thorve
Rory Mitchell
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Jiqun Tu
Graham Markall
Jason Tichy
Simon Andersen
Thomson Comer
Satish Varma Dandu
Jeremy Dyer
Ronay Ak
Zahra Ronaghi
Chen Chieh Yu
Benedikt Schifferer
Miro Enev
Ayush Dattagupta
Louis Sugy
William Hicks
Chinmay Chandak
Devin Robison
Victor Lafargue
Hugo Linsenmaier
Akshit Arora
Rick Zamora
Brandon B. Miller
Marlene Mhangami
Ashwin Srinath
prem sagar gali
David Banys
Sofia Sayyah
Shridhar A
Michael Wang
Maarten Grootendorst
Alex Barghi
Ben Jarmak
Don Acosta