What’s New in TensorFlow 2.10?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • MNN

    MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  • There are a ton of mobile deployment options that support PyTorch+TF models. It's hard to argue TFLite is the best.

    https://github.com/alibaba/MNN

  • ncnn

    ncnn is a high-performance neural network inference framework optimized for the mobile platform

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  • TNN

    TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts

  • mace

    MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

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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