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Case Studies

How theator Built a Continuous Training Framework To Scale up Its Surgical Intelligence Platform

Performing surgery is largely about decision making. As Dr. Frank Spencer put it in 1978,…

PyTorch FoundationDecember 17, 2020

Case Studies

Graph Convolutional Operators in the PyTorch JIT

In this talk, scientist Lindsey Gray and Ph.D. student Matthias Fey co-examine how the challenges…

PyTorch FoundationDecember 2, 2020

Blog

Prototype Features Now Available – APIs for Hardware Accelerated Mobile and ARM64 Builds

Today, we are announcing four PyTorch prototype features. The first three of these will enable…

PyTorch FoundationNovember 12, 2020

Blog

Announcing PyTorch Developer Day 2020

Starting this year, we plan to host two separate events for PyTorch: one for developers…

PyTorch FoundationNovember 1, 2020

Blog

PyTorch 1.7 released w/ CUDA 11, New APIs for FFTs, Windows support for Distributed training and more

Today, we’re announcing the availability of PyTorch 1.7, along with updated domain libraries. The PyTorch…

PyTorch FoundationOctober 27, 2020

Case Studies

How Wadhwani AI Uses PyTorch To Empower Cotton Farmers

Cotton is a major fibre crop across the world, cultivated in over 80 countries with…

PyTorch FoundationOctober 22, 2020

Case Studies

How Lyft Uses PyTorch to Power Machine Learning for Their Self-Driving Cars

Lyft’s mission is to improve people’s lives with the world’s best transportation. We believe in…

PyTorch FoundationOctober 7, 2020

Blog

Announcing the Winners of the 2020 Global PyTorch Summer Hackathon

More than 2,500 participants in this year’s Global PyTorch Summer Hackathon pushed the envelope to…

PyTorch FoundationOctober 1, 2020

Case Studies

AstraZeneca is using PyTorch-powered algorithms to discover new drugs

Since it launched in 2017, Facebook’s machine-learning framework PyTorch has been put to good use,…

PyTorch FoundationSeptember 30, 2020

Case Studies

Speeding up drug discovery with advanced machine learning

Whatever our job title happens to be at AstraZeneca, we’re seekers. I’m part of the…

PyTorch FoundationSeptember 30, 2020

Blog

PyTorch framework for cryptographically secure random number generation, torchcsprng, now available

One of the key components of modern cryptography is the pseudorandom number generator. Katz and…

PyTorch FoundationAugust 24, 2020

Blog

PyTorch 1.6 now includes Stochastic Weight Averaging

Do you use stochastic gradient descent (SGD) or Adam? Regardless of the procedure you use…

Pavel Izmailov, Andrew Gordon Wilson and Vincent Quenneville-BelairAugust 18, 2020

Blog

Efficient PyTorch I/O library for Large Datasets, Many Files, Many GPUs

Data sets are growing bigger every day and GPUs are getting faster. This means there…

Alex Aizman, Gavin Maltby, Thomas BreuelAugust 11, 2020

Case Studies

AI for AG: Production machine learning for agriculture

How did farming affect your day today? If you live in a city, you might…

PyTorch FoundationAugust 6, 2020

Blog

PyTorch 1.6 released w/ Native AMP Support, Microsoft joins as maintainers for Windows

Today, we’re announcing the availability of PyTorch 1.6, along with updated domain libraries. We are…

PyTorch FoundationJuly 28, 2020

Blog

PyTorch feature classification changes

Traditionally features in PyTorch were classified as either stable or experimental with an implicit third…

PyTorch FoundationJuly 28, 2020

Blog

Microsoft becomes maintainer of the Windows version of PyTorch

Along with the PyTorch 1.6 release, we are excited to announce that Microsoft has expanded…

Maxim Lukiyanov - Principal PM at Microsoft, Emad Barsoum - Group EM at Microsoft, Guoliang Hua - Principal EM at Microsoft, Nikita Shulga - Tech Lead at Facebook, Geeta Chauhan - PE Lead at Facebook, Chris Gottbrath - Technical PM at Facebook, Jiachen Pu - Engineer at FacebookJuly 28, 2020

Blog

Introducing native PyTorch automatic mixed precision for faster training on NVIDIA GPUs

Most deep learning frameworks, including PyTorch, train with 32-bit floating point (FP32) arithmetic by default.…

Mengdi Huang, Chetan Tekur, Michael CarilliJuly 28, 2020

Case Studies

How Pixar uses AI and GANs to create high-resolution content

As digital animators continue to push the boundaries of technology and creativity, the technical teams…

PyTorch FoundationJuly 17, 2020

Case Studies

How Disney uses PyTorch for animated character recognition

The long and incremental evolution of the media industry, from a traditional broadcast and home…

PyTorch FoundationJuly 16, 2020

How theator Built a Continuous Training Framework To Scale up Its Surgical Intelligence Platform

Graph Convolutional Operators in the PyTorch JIT

Prototype Features Now Available – APIs for Hardware Accelerated Mobile and ARM64 Builds

Announcing PyTorch Developer Day 2020

PyTorch 1.7 released w/ CUDA 11, New APIs for FFTs, Windows support for Distributed training and more

How Wadhwani AI Uses PyTorch To Empower Cotton Farmers

How Lyft Uses PyTorch to Power Machine Learning for Their Self-Driving Cars

Announcing the Winners of the 2020 Global PyTorch Summer Hackathon

AstraZeneca is using PyTorch-powered algorithms to discover new drugs

Speeding up drug discovery with advanced machine learning

PyTorch framework for cryptographically secure random number generation, torchcsprng, now available

PyTorch 1.6 now includes Stochastic Weight Averaging

Efficient PyTorch I/O library for Large Datasets, Many Files, Many GPUs

AI for AG: Production machine learning for agriculture

PyTorch 1.6 released w/ Native AMP Support, Microsoft joins as maintainers for Windows

PyTorch feature classification changes

Microsoft becomes maintainer of the Windows version of PyTorch

Introducing native PyTorch automatic mixed precision for faster training on NVIDIA GPUs

How Pixar uses AI and GANs to create high-resolution content

How Disney uses PyTorch for animated character recognition

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