PyTorch Community Voices | pystiche | Philip Meier

Join us for an interview with star PyTorch community member Philip Meier, as he talks about his library to perform Neural Style Transfers. Pystiche offers an easy to use API and is built on PyTorch.

0:00 Starting soon
1:12 Livestream start/Intros
2:40 Pystiche Presentation
25:10 Q&As

——- Project Links ——-

Poster: https://assets.pytorch.org/pted2021/posters/D7.png
Github: https://github.com/pystiche/pystiche
Blog: https://medium.com/pytorch/pystiche-a-framework-for-neural-style-transfer-1ea6e4825f32
Paper: https://www.theoj.org/joss-papers/joss.02761/10.21105.joss.02761.pdf

——- Social Accounts ——-

Quansight: https://twitter.com/quansightai
Suraj Subramanian: https://twitter.com/subramen
Jessica Lin: https://twitter.com/hey_its_jlin

PyTorch: https://twitter.com/PyTorch
Facebook Open Source Twitter: http://twitter.com/fbOpenSource

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