PyTorch Developer Conference 2019 | Full Livestream

Watch the full set of talks from the 2019 PyTorch Developer Conference. Deep dive on PyTorch 1.3 and new tools and libraries including PyTorch Mobile, CrypTen, Captum, Detectron2 and more. Hear from AI researchers and engineers from leading organizations in academia and industry on how they’re using PyTorch for both cutting edge research and production.

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Keynote – Mike Schroepfer – 2:11
What’s new in PyTorch 1.3 – Lin Qiao – 15:45
PyTorch Front-End Features: Named Tensors and Type Promotion – Gregory Chanan – 27:15
Research to Production: PyTorch JIT/TorchScript Updates – Michael Suo – 35:38
Quantization – Dmytro Dzhulgakov – 45:43
ONNX Export Support – Lara Haidar, Microsoft – 55:37
Apex – Michael Carilli, NVIDIA – 1:00:06
Dataloader Design for PyTorch – Tongzhou Wang, MIT – 1:05:35
Linear Algebra in PyTorch – Vishwak Srinivasan, CMU – 1:12:06
PyTorch Mobile – David Reiss – 1:15:56
Model Interpretability with Captum – Narine Kokhilkyan – 1:24:40
Detectron2 – Next Gen Object Detection Library – Yuxin Wu – 1:33:00
Speech Extensions to Fairseq – Dmytro Okhonko – 1:43:05
PyTorch on Google Cloud TPUs – Google, Salesforce, Facebook – 1:50:00
PyTorch Summer Hackathon Winners – Joe Spisak, Sebastien Arnold,Tristan Deleu – 2:13:06
PyTorch in Robotics – Yisong Yue, Caltech – 2:24:02
StanfordNLP – Yuhao Zhang, Stanford – 2:34:03
Sotabench for Reproducible Research – Robert Stojnic, Papers with Code – 2:44:45
Collaborative Natural Language Inference – Sasha Rush, Cornell – 2:54:04
Privacy Preserving AI – Andrew Trask, OpenMined – 3:04:50
CrypTen – Laurens van der Maaten – 3:21:27
PyTorch at Uber – Sidney Zhang, Uber – 3:32:00
PyTorch at Tesla – Andrej Karpathy, Tesla – 3:45:39
PyTorch at Microsoft – Saurabh Tiwary, Microsoft – 3:56:50
PyTorch at Dolby Labs – Vivek Kumar, Dolby Labs – 4:04:15
Panel Discussion – 4:15:20

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