What is PyTorch?

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What is PyTorch?

PyTorch

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PyTorch Tutorial: A Quick Preview

PyTorch

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PyTorch Summer Hackathon 2019

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Tips and Tricks on Hacking with PyTorch: A Quick Tutorial by Brad Heintz

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PyTorch 1.2 and PyTorch Hub: A Quick Introduction by Soumith Chintala and Ailing Zhang

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Torchtext 0.4 with Supervised Learning Datasets: A Quick Introduction by George Zhang

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Torchaudio 0.3 with Kaldi Compatibility, New Transforms: A Quick Introduction by Jason Lian

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Torchvision 0.4 with Support for Video: A Quick Introduction by Francisco Massa

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Introduction to Machine Learning for Developers at F8 2019

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Powered by PyTorch at F8 2019

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Developing and Scaling AI Experiences at Facebook with PyTorch at F8 2019

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New Approaches to Image and Video Reconstruction Using Deep Learning at Facebook at F8 2019

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PyTorch Developer Conference 2018: Recap

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PyTorch Developer Conference 2018: Keynote & Deep Dive

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PyTorch Developer Conference 2018: Production & Research Sessions

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PyTorch Developer Conference 2018: Cloud & Academia Sessions

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PyTorch Developer Conference 2018: Enterprise, Education, & Future of AI Panel

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PyTorch Developer Conference 2019 | Full Livestream

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PyTorch Developer Conference 2019: Recap

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PyTorch Developer Conference Keynote - Mike Schroepfer

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What’s new in PyTorch 1.3 - Lin Qiao

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PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan

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Research to Production: PyTorch JIT/TorchScript Updates - Michael Suo

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Quantization - Dmytro Dzhulgakov

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PyTorch ONNX Export Support - Lara Haidar, Microsoft

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Apex - Michael Carilli, NVIDIA

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Dataloader Design for PyTorch - Tongzhou Wang, MIT

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Linear Algebra in PyTorch - Vishwak Srinivasan, CMU

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PyTorch Mobile - David Reiss

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Model Interpretability with Captum - Narine Kokhilkyan

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Detectron2 - Next Gen Object Detection Library - Yuxin Wu

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Speech Extensions to Fairseq - Dmytro Okhonko

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PyTorch on Google Cloud TPUs - Google, Salesforce, Facebook

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PyTorch Summer Hackathon Winners - Joe Spisak, Sebastien Arnold, Tristan Deleu

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PyTorch in Robotics - Yisong Yue, Caltech

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StanfordNLP - Yuhao Zhang, Stanford

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Sotabench for Reproducible Research - Robert Stojnic, Papers with Code

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Collaborative Natural Language Inference - Sasha Rush, Cornell

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Privacy Preserving AI - Andrew Trask, OpenMined

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CrypTen - Laurens van der Maaten

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PyTorch at Uber - Sidney Zhang, Uber

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PyTorch at Tesla - Andrej Karpathy, Tesla

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PyTorch at Microsoft - Saurabh Tiwary, Microsoft

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PyTorch at Dolby Labs - Vivek Kumar, Dolby Labs

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PyTorch Developer Conference 2019 - Panel Discussion

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Using deep learning and PyTorch to power next gen aircraft at Caltech

PyTorch

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Named Tensors, Model Quantization, and the Latest PyTorch Features - Part 1

PyTorch

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TorchScript and PyTorch JIT | Deep Dive

PyTorch

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Announcing the PyTorch Global Summer Hackathon 2020

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Opening Up the Black Box: Model Understanding with Captum and PyTorch

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PyTorch Mobile Runtime for Android

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Torchvision in 5 minutes

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3D Deep Learning with PyTorch3D

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What is Torchtext?

PyTorch

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TorchAudio: A Quick Intro

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PyTorch Mobile Runtime for iOS

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PySlowFast: Deep learning with Video

PyTorch

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PyTorch Pruning | How it's Made by Michela Paganini

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Measuring Fairness in Machine Learning Systems

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PyTorch for Hackathons

PyTorch