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Nov 8, 2023

How Activation Checkpointing enables scaling up training deep learning models

By Yiftach Beer, Omri Bar

How Activation Checkpointing enables scaling up training deep learning models

PyTorch

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Nov 4, 2022

Differential Privacy Series Part 3 | Efficient Per-Sample Gradient Computation for More Layers in…

Authors: Alex Sablayrolles, Ashkan Yousefpour, Karthik Prasad, Peter Romov, Davide Testuggine, Igor Shilov, and Ilya Mironov

Differential Privacy Series Part 3 | Efficient Per-Sample Gradient Computation for More Layers in…

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Jul 12, 2022

Democratizing GPR (Ground Penetrating Radar) with deep learning

A high-performance and cost-effective deployment using PyTorch and AWS Inferentia

Democratizing GPR (Ground Penetrating Radar) with deep learning

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PyTorch

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Mar 23, 2022

Large-Scale Distributed Training with TorchX and Ray

Ray, created at RISELab by the founders of Anyscale. It provides a rich set of native libraries for ML workloads and a general-purpose core

Large-Scale Distributed Training with TorchX and Ray

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PyTorch

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Mar 17, 2022

PyTorch Data Parallel Best Practices on Google Cloud

Authors: Shen Li (Meta AI), Jessica Choi (Meta AI), Pavel Belevich (Meta AI), Yanli Zhao (Meta AI), Rohan Varma (Meta AI), Geeta Chauhan…

PyTorch Data Parallel Best Practices on Google Cloud

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Mar 15, 2022

Training a 1 Trillion Parameter Model With PyTorch Fully Sharded Data Parallel on AWS

Authors: Pavel Belevich (Meta AI), Yanli Zhao (Meta AI), Shen Li (Meta AI), Jessica Choi (Meta AI), Rohan Varma (Meta AI), Pritam Damania…

Training a 1 Trillion Parameter Model With PyTorch Fully Sharded Data Parallel on AWS

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PyTorch

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Mar 14, 2022

Solliance makes headlines with cryptocurrency news analysis platform powered by Azure Machine…

Solliance delivers cutting-edge AI solutions that fill gaps across a wide variety of industries using PyTorch and Microsoft Azure

Solliance makes headlines with cryptocurrency news analysis platform powered by Azure Machine…

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PyTorch

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Sep 16, 2021

Differential Privacy Series Part 2 | Efficient Per-Sample Gradient Computation in Opacus

We examine how vectorized computation is done in Opacus and why Opacus can compute per-sample gradients a lot faster than micro batching.

Differential Privacy Series Part 2 | Efficient Per-Sample Gradient Computation in Opacus

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Sep 7, 2021

How AI is Helping Vets to Help our Pets

1 in 4 dogs and 1 in 5 cats will develop cancer at some point in their lives. Pets today have a better chance of being successfully treated

How AI is Helping Vets to Help our Pets

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PyTorch

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Jun 9, 2021

PyTorch at Google Cloud’s Applied ML Summit

The Applied ML Summit is a half-day digital event kicking off on June 10th, bringing together professional data scientists, ML engineers…

PyTorch at Google Cloud’s Applied ML Summit

PyTorch

PyTorch

PyTorch is an open source machine learning platform that provides a seamless path from research prototyping to production deployment.

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