PyTorch Developer Conference Keynote - Mike Schroepfer

1

What is PyTorch?

PyTorch

2

PyTorch Tutorial: A Quick Preview

PyTorch

3

PyTorch Summer Hackathon 2019

PyTorch

4

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

PyTorch

5

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

PyTorch

6

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

PyTorch

7

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

PyTorch

8

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

PyTorch

9

Introduction to Machine Learning for Developers at F8 2019

PyTorch

10

Powered by PyTorch at F8 2019

PyTorch

11

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

PyTorch

12

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

PyTorch

13

PyTorch Developer Conference 2018: Recap

PyTorch

14

PyTorch Developer Conference 2018: Keynote & Deep Dive

PyTorch

15

PyTorch Developer Conference 2018: Production & Research Sessions

PyTorch

16

PyTorch Developer Conference 2018: Cloud & Academia Sessions

PyTorch

17

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

PyTorch

18

PyTorch Developer Conference 2019 | Full Livestream

PyTorch

19

PyTorch Developer Conference 2019: Recap

PyTorch

▶

PyTorch Developer Conference Keynote - Mike Schroepfer

PyTorch

21

What’s new in PyTorch 1.3 - Lin Qiao

PyTorch

22

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

PyTorch

23

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

PyTorch

24

Quantization - Dmytro Dzhulgakov

PyTorch

25

PyTorch ONNX Export Support - Lara Haidar, Microsoft

PyTorch

26

Apex - Michael Carilli, NVIDIA

PyTorch

27

Dataloader Design for PyTorch - Tongzhou Wang, MIT

PyTorch

28

Linear Algebra in PyTorch - Vishwak Srinivasan, CMU

PyTorch

29

PyTorch Mobile - David Reiss

PyTorch

30

Model Interpretability with Captum - Narine Kokhilkyan

PyTorch

31

Detectron2 - Next Gen Object Detection Library - Yuxin Wu

PyTorch

32

Speech Extensions to Fairseq - Dmytro Okhonko

PyTorch

33

PyTorch on Google Cloud TPUs - Google, Salesforce, Facebook

PyTorch

34

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

PyTorch

35

PyTorch in Robotics - Yisong Yue, Caltech

PyTorch

36

StanfordNLP - Yuhao Zhang, Stanford

PyTorch

37

Sotabench for Reproducible Research - Robert Stojnic, Papers with Code

PyTorch

38

Collaborative Natural Language Inference - Sasha Rush, Cornell

PyTorch

39

Privacy Preserving AI - Andrew Trask, OpenMined

PyTorch

40

CrypTen - Laurens van der Maaten

PyTorch

41

PyTorch at Uber - Sidney Zhang, Uber

PyTorch

42

PyTorch at Tesla - Andrej Karpathy, Tesla

PyTorch

43

PyTorch at Microsoft - Saurabh Tiwary, Microsoft

PyTorch

44

PyTorch at Dolby Labs - Vivek Kumar, Dolby Labs

PyTorch

45

PyTorch Developer Conference 2019 - Panel Discussion

PyTorch

46

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

PyTorch

47

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

PyTorch

48

TorchScript and PyTorch JIT | Deep Dive

PyTorch

49

Announcing the PyTorch Global Summer Hackathon 2020

PyTorch

50

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

PyTorch

51

PyTorch Mobile Runtime for Android

PyTorch

52

Torchvision in 5 minutes

PyTorch

53

3D Deep Learning with PyTorch3D

PyTorch

54

What is Torchtext?

PyTorch

55

TorchAudio: A Quick Intro

PyTorch

56

PyTorch Mobile Runtime for iOS

PyTorch

57

PySlowFast: Deep learning with Video

PyTorch

58

PyTorch Pruning | How it's Made by Michela Paganini

PyTorch

59

Measuring Fairness in Machine Learning Systems

PyTorch

60

PyTorch for Hackathons

PyTorch