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Kamil Tokarski stiepan

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@NVIDIA

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  1. Forked from NVIDIA/DeepLearningExamples

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

    Jupyter Notebook

  2. A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

    C++ 5.6k 659

  3. NVIDIA Math Libraries for the Python Ecosystem

    Cython 553 32

  4. The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.

    C++ 141 35

  5. 3rd party dependencies for DALI project

    Shell 11 25