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PyTorch Developer Conference 2019 | Full Livestream

on YouTube 04h 52m
Talkat PyTorch Developer Conference 2019 · 2019-10-08..10-11· [machine-learning]

speakers

name:Mike Schroepfer
links:none on file
name:Lin Qiao
linkedin:lin-qiao-22248b4
name:Gregory Chanan
links:none on file
name:Michael Suo
links:none on file
name:DMYTRO DZHULGAKOV
links:none on file
name:Yisong Yue
links:none on file
name:Yuhao Zhang
links:none on file
name:Robert Stojnic
links:none on file
name:Sasha Rush
links:none on file
name:ANDREW TRASK
bluesky:iamtrask.bsky.social
name:Laurens van der Maaten
x:lvdmaaten
name:Sidney Zhang
links:none on file
name:Andrej Karpathy
links:none on file
name:Saurabh Tiwary
links:none on file
name:Vivek Kumar
linkedin:vivek-kumar-68384616

resources

video:https://youtu.be/ivTGO6BAQG0
slides:none on file

summary

A full livestream covering PyTorch 1.3 and its ecosystem, including tools and libraries such as PyTorch Mobile, CrypTen, Captum, Detectron2, ONNX export support, Apex, and Fairseq speech extensions. The sessions range from front-end features (named tensors, type promotion), JIT/TorchScript and quantization, to deployment (mobile, TPUs), model interpretability, privacy-preserving ML, and applications of PyTorch at organizations like Google, Salesforce, Uber, Tesla, Microsoft and Dolby.

AI-written summary · about

chapters (27)

  1. 0:00Start
  2. 2:11Keynote - Mike Schroepfer
  3. 15:45What’s new in PyTorch 1.3 - Lin Qiao
  4. 27:15PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan
  5. 35:38Research to Production: PyTorch JIT/TorchScript Updates - Michael Suo
  6. 45:43Quantization - Dmytro Dzhulgakov
  7. 55:37ONNX Export Support - Lara Haidar, Microsoft
  8. 1:00:06Apex - Michael Carilli, NVIDIA
  9. 1:05:35Dataloader Design for PyTorch - Tongzhou Wang, MIT
  10. 1:12:06Linear Algebra in PyTorch - Vishwak Srinivasan, CMU
  11. 1:15:56PyTorch Mobile - David Reiss
  12. 1:24:40Model Interpretability with Captum - Narine Kokhlikyan
  13. 1:33:00Detectron2 - Next Gen Object Detection Library - Yuxin Wu
  14. 1:43:05Speech Extensions to Fairseq - Dmytro Okhonko
  15. 1:50:00PyTorch on Google Cloud TPUs - Google, Salesforce, Facebook
  16. 2:13:06PyTorch Summer Hackathon Winners - Joe Spisak, Sebastien Arnold, Tristan Deleu
  17. 2:24:02PyTorch in Robotics - Yisong Yue, Caltech
  18. 2:34:03StanfordNLP - Yuhao Zhang, Stanford
  19. 2:44:45Sotabench for Reproducible Research - Robert Stojnic, Papers with Code
  20. 2:54:04Collaborative Natural Language Inference - Sasha Rush, Cornell
  21. 3:04:50Privacy Preserving AI - Andrew Trask, OpenMined
  22. 3:21:27CrypTen - Laurens van der Maaten
  23. 3:32:00PyTorch at Uber - Sidney Zhang, Uber
  24. 3:45:39PyTorch at Tesla - Andrej Karpathy, Tesla
  25. 3:56:50PyTorch at Microsoft - Saurabh Tiwary, Microsoft
  26. 4:04:15PyTorch at Dolby Labs - Vivek Kumar, Dolby Labs
  27. 4:15:20Panel Discussion

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