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Blog

Overview of PyTorch Autograd Engine

This blog post is based on PyTorch version 1.8, although it should apply for older…

Preferred Networks, Inc.June 8, 2021

Case Studies

AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch

AI21 Labs uses machine learning to develop language models focused on understanding meaning, and in…

PyTorch FoundationJune 7, 2021

Case Studies

PyTorch Community Voices

Join us for an interview with star PyTorch community members Alexander O’Connor and Binghui Ouyang…

PyTorch FoundationJune 2, 2021

Blog

Everything you need to know about TorchVision’s MobileNetV3 implementation

In TorchVision v0.9, we released a series of new mobile-friendly models that can be used for Classification,…

Vasilis Vryniotis and Francisco MassaMay 26, 2021

Blog

Announcing the PyTorch Enterprise Support Program

Today, we are excited to announce the PyTorch Enterprise Support Program, a participatory program that…

PyTorch FoundationMay 25, 2021

Case Studies

How Outreach Productionizes PyTorch-based Hugging Face Transformers for NLP

At Outreach, a leading sales engagement platform, our data science team is a driving force…

PyTorch FoundationMay 14, 2021

Blog

PyTorch Ecosystem Day 2021 Recap and New Contributor Resources

Thank you to our incredible community for making the first ever PyTorch Ecosystem Day a…

PyTorch FoundationMay 10, 2021

Case Studies

Automated Background Removal in E-commerce Fashion Image Processing Using PyTorch on Databricks

Wehkamp is one of the biggest e-commerce companies in the Netherlands, with more than 500,000…

PyTorch FoundationApril 29, 2021

Case Studies

Disney’s Creative Genome by Miquel Farré

Miquel Farré is a senior technology manager at Disney, taking the lead on projects at…

PyTorch FoundationApril 27, 2021

Blog

An overview of the ML models introduced in TorchVision v0.9

TorchVision v0.9 has been released and it is packed with numerous new Machine Learning models and features,…

PyTorch FoundationApril 16, 2021

Case Studies

How We Used AWS Inferentia to Boost PyTorch NLP Model Performance by 4.9x for the Autodesk Ava Chatbot

Autodesk is a multinational software company with world-renowned products in areas such as Architecture, Engineering,…

PyTorch FoundationApril 7, 2021

Blog

Introducing PyTorch Profiler – the new and improved performance tool

Along with PyTorch 1.8.1 release, we are excited to announce PyTorch Profiler – the new and…

Maxim Lukiyanov - Principal PM at Microsoft, Guoliang Hua - Principal Engineering Manager at Microsoft, Geeta Chauhan - Partner Engineering Lead at Facebook, Gisle Dankel - Tech Lead at FacebookMarch 25, 2021

Blog

PyTorch for AMD ROCm™ Platform now available as Python package

With the PyTorch 1.8 release, we are delighted to announce a new installation option for…

Niles Burbank – Director PM at AMD, Mayank Daga – Director, Deep Learning Software at AMDMarch 24, 2021

Blog

Announcing PyTorch Ecosystem Day

We’re proud to announce our first PyTorch Ecosystem Day. The virtual, one-day event will focus…

PyTorch FoundationMarch 9, 2021

Blog

New PyTorch library releases including TorchVision Mobile, TorchAudio I/O, and more

Today, we are announcing updates to a number of PyTorch libraries, alongside the PyTorch 1.8 release.…

PyTorch FoundationMarch 4, 2021

Blog

PyTorch 1.8 Release, including Compiler and Distributed Training updates, and New Mobile Tutorials

We are excited to announce the availability of PyTorch 1.8. This release is composed of…

PyTorch FoundationMarch 4, 2021

Blog

The torch.fft module: Accelerated Fast Fourier Transforms with Autograd in PyTorch

The Fast Fourier Transform (FFT) calculates the Discrete Fourier Transform in O(n log n) time.…

Mike Ruberry, Peter Bell, and Joe SpisakMarch 3, 2021

Case Studies

Machine Learning at Tubi: Powering Free Movies, TV and News for All

In this blog series, our aim is to highlight the nuances of Machine Learning in…

PyTorch FoundationFebruary 25, 2021

Case Studies

Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA

At deepset, we’re building the next-level search engine for business documents. Our core product, Haystack,…

PyTorch FoundationJanuary 27, 2021

Case Studies

Using PyTorch to streamline machine-learning projects

For many surgeons, the possibility of going back into the operating room to review the…

PyTorch FoundationDecember 20, 2020

Overview of PyTorch Autograd Engine

AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch

PyTorch Community Voices

Everything you need to know about TorchVision’s MobileNetV3 implementation

Announcing the PyTorch Enterprise Support Program

How Outreach Productionizes PyTorch-based Hugging Face Transformers for NLP

PyTorch Ecosystem Day 2021 Recap and New Contributor Resources

Automated Background Removal in E-commerce Fashion Image Processing Using PyTorch on Databricks

Disney’s Creative Genome by Miquel Farré

An overview of the ML models introduced in TorchVision v0.9

How We Used AWS Inferentia to Boost PyTorch NLP Model Performance by 4.9x for the Autodesk Ava Chatbot

Introducing PyTorch Profiler – the new and improved performance tool

PyTorch for AMD ROCm™ Platform now available as Python package

Announcing PyTorch Ecosystem Day

New PyTorch library releases including TorchVision Mobile, TorchAudio I/O, and more

PyTorch 1.8 Release, including Compiler and Distributed Training updates, and New Mobile Tutorials

The torch.fft module: Accelerated Fast Fourier Transforms with Autograd in PyTorch

Machine Learning at Tubi: Powering Free Movies, TV and News for All

Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA

Using PyTorch to streamline machine-learning projects

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