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Synaptics SyNAP

SyNAP

Synaptics Neural Network Acceleration and Processing

SyNAP is an acronym for Synaptics Neural Network Acceleration and Processing; it is a full AI framework supporting various Synaptics SoCs.

SyNAP is composed of multiple components:

  • the SyNAP documentation
  • the SyNAP toolkit for TFLite and ONNX model analysis, compilation and conversion
  • the SyNAP runtime for the creation of AI application running on AI-enabled Synaptics SoCs - the SyNAP secure driver a.k.a SyKURE - the SyNAP C++ API for heterogeneous inference and pre- and post-processing
  • forks of OpenSource projects optimized for the Synaptics SoCs

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  1. tensorflow tensorflow Public

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    An Open Source Machine Learning Framework for Everyone

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  2. XNNPACK XNNPACK Public

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    High-efficiency floating-point neural network inference operators for mobile, server, and Web

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  3. TIM-VX TIM-VX Public

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  5. .github .github Public

    SyNAP github welcome page

  6. doc doc Public

    SyNAP Documentation

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