Lightning Talk: Building and Supporting the Chinese PyTorch Community: Resources, Tu... Zong Zesheng

PyTorch · Beginner ·🛠️ AI Tools & Apps ·1y ago
Lightning Talk: Building and Supporting the Chinese PyTorch Community: Resources, Tutorials, and Engagement - Zong Zesheng, Huawei Description: This proposal aims to provide a comprehensive introduction to the Chinese PyTorch community, we hope to inspire more users to join and contribute, fostering a vibrant and inclusive environment for PyTorch enthusiasts in China. Chinese PyTorch Homepage Introduction to the official Chinese version of the PyTorch website, highlighting its features. Navigation tips and key sections, such as documentation, tutorials, and community events. Improve the connection of users from China with PyTorch Community. Localized Tutorials and Documentation The 2.x version not have Translated version, it hard to catch up with latest features of PyTorch if the beginner not good at English. We translated official documents and tutorials, covering everything from basic PyTorch concepts to advanced applications. Interactive tutorials No interactive tutorials(Like Google Colab) for Chinese students or beginners before, they have to setup environment before start with PyTorch, which might be hard for beginners. And now, an online notebook & tutorials are available to practice or tuning steps for beginners.
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1 What is PyTorch?
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23 Research to Production: PyTorch JIT/TorchScript Updates - Michael Suo
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25 PyTorch ONNX Export Support - Lara Haidar, Microsoft
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27 Dataloader Design for PyTorch - Tongzhou Wang, MIT
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28 Linear Algebra in PyTorch - Vishwak Srinivasan, CMU
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30 Model Interpretability with Captum - Narine Kokhilkyan
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31 Detectron2 - Next Gen Object Detection Library - Yuxin Wu
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34 PyTorch Summer Hackathon Winners - Joe Spisak, Sebastien Arnold, Tristan Deleu
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38 Collaborative Natural Language Inference - Sasha Rush, Cornell
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40 CrypTen - Laurens van der Maaten
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42 PyTorch at Tesla - Andrej Karpathy, Tesla
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43 PyTorch at Microsoft - Saurabh Tiwary, Microsoft
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47 Named Tensors, Model Quantization, and the Latest PyTorch Features - Part 1
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