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Supercomputing Programmer with @friedmud: TDI 33

Data Science 101

Can you give us some technical specs on MOOSE? Read the full interview on Threads: @ryan.swanstrom • Threads Dev Interview #33 with Supercomputer Programmer @friedmud, I am finding developers on Th… • Threads It’s incredibly rewarding work – to be able to work on such an amazing project and have it all be open-source!

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RT-1: Robotics Transformer for Real-World Control at Scale

Google Research AI blog

We transform the data collected to match the action specs and bounds of our original dataset collected with EDR, and label every episode with the task instruction “pick anything” (the Kuka dataset doesn’t have object labels).

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The Sneaky Standard

Hacker News

It, too, is limited to 33 MHz, but it allows the PCI controller to use a 32-bit or a 64-bit data connection to the CPU. Intel calls it an “intermediate” bus because it is designed to uncouple the CPU from the expansion bus while maintaining a 33-MHz 32-bit path to peripheral devices.

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Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart 

AWS Machine Learning Blog

24xlarge 49 85 178 353 654 1079 1544 2312 2905 2944 21 23 22 23 26 31 44 58 92 165 Number of total tokens: 4096, Number of output tokens: 256 ml.g5.2xlarge 20 36 48 49 — — — — — — 48 57 104 170 — — — — — — ml.g5.12xlarge 33 58 90 123 142 — — — — — 31 34 48 73 132 — — — — — ml.g5.48xlarge 31 48 66 82 — — — — — — 31 43 68 120 — — — — — — ml.p4d.24xlarge

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CycleGAN: Unpaired Image-to-Image Translation (Part 2)

PyImageSearch

On Lines 24-33 , we define the read_train_example() function, which takes as input the data and allows us to apply pre-processing and data augmentation operations to our data during training. Then, on Line 30 , we resize our image to the desired [256, 256] dimension and finally return our image on Line 33.