[N] PyTorch 1.10 Release, including CUDA Graphs APIs, Frontend and compiler improvements

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • pytorch-rpi

    Share PyTorch binaries built for Raspberry Pi

  • I'd try to use libtorch with C++ and load a jit-exported model. You'll probably have to compile your own version of libtorch, so https://github.com/ljk53/pytorch-rpi might be a good place to start?

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • Source: https://github.com/pytorch/pytorch/releases/tag/v1.10.0

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • fairseq

    Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  • Here is a scriptable beam-search in fairseq.

  • tract

    Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

  • I like to use the setup pytorch -> onnx -> tract Tract runs efficiently on ARM single board computers.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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