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GPU-Accelerated Data Pipelines with BlazingDB and RAPIDS
NVIDIA Rapids
High-Performance Data Science with RAPIDS
RAPIDS: GPU-Accelerated Data Analytics & Machine Learning
Brad Rees: RAPIDS- Open Source GPU Data Science | PyData LA 2019
cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler - TWiML Talk #254
State of RAPIDS: Bridging the GPU Data Science Ecosystem | GTC Digital 2020
RAPIDS: Open GPU Data Science | Scipy 2019 Tutorial | Scopatz, Becker, Kraus, Gama Dessavre
gpuCI - How RAPIDS uses an open-source stack with GPUs for CI/CD
Zahra Ronaghi — GPU-accelerated Data Science with RAPIDS — BIDS ImageXD 2021
Machine Learning and Graph Analytics on GPU-Accelerated Data Science
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Last Updated: September 27, 2026
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JOSHUA PATTERSON | DIRECTOR AI INFRASTRUCTURE AT Speaker(s): Griffin Lacey, Mukundhan Srinivasan Facilitator(s): Alireza Darbehani Find the recording, slides, and more info at ... Travis Oliphant, CEO of Quansight, and early contributor to BlazingDB, a longtime partner of Presenter: Dr. Manal Jalloul, Lecturer, American University of Beirut, Lebanon pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData ... Today we're joined by Paul Mahler, senior MIKE WENDT | ENGINEERING MANAGER AT BIDS ImageXD 2021 May 17-18, 2021 bids.berkeley.edu/events/imagexd-2021 During the first part of our series on Seattle Parking dataset we
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