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Reference implementations of inference benchmarks

License: Apache License 2.0

C++ 15.44% Dockerfile 0.48% Makefile 0.10% Python 76.33% Shell 2.70% Jupyter Notebook 2.72% CMake 0.15% HTML 0.19% CSS 1.89%

inference's Introduction

  • 👋 Hi, I’m @uelordi01 PhD Computer Vision and AI researcher at Vicomtech since 2009
  • 👀 I’m interested in Deep Neural Networks, Computer Vision Algorithms, Iot and Heteregeneous computing models.
  • 💞️ I’m science communicator in media resources.
  • Currently at: Naiz irratia Radio Euskadi

inference's People

Contributors

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