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Используемые фильтры

TensorFlow* and Intel® oneAPI Deep Neural Network Library (oneDNN) optimized with Open MPI*, Horovod*, and Jupyter Notebook*; CentOS*.

TensorFlow* and Intel® oneAPI Deep Neural Network Library (oneDNN) optimized with Open MPI*, Horovod*; CentOS*.

TensorFlow* and Intel® oneAPI Deep Neural Network Library (oneDNN) optimized with MPICH, Horovod*, and Jupyter Notebook*; CentOS.

TensorFlow* and Intel® oneAPI Deep Neural Network Library (oneDNN) optimized with MPICH, Horovod*; CentOS*.

TensorFlow* and Intel® oneAPI Deep Neural Network Library (oneDNN) optimized for Intel® Xeon® processors with Jupyter Notebook* on CentOS*.

Wireless Network Ready Intelligent Traffic Management is designed to detect and track vehicles and pedestrians and estimate a safety metric.

XGBoost

XGBoost is a scalable, portable, and distributed gradient boosting (GBDT, GBRT, or GBM) library for Python*, R*, Java*, Scala*, C++ and more.

This is a Wide & Deep Large Dataset FP32 training model package optimized with TensorFlow* for bare metal.

This is a Wide & Deep Large Dataset FP32 training container optimized with TensorFlow*.

This is a Wide & Deep FP32 inference model package optimized with TensorFlow* for bare metal.

This is a Wide & Deep FP32 inference container optimized with TensorFlow*.

This is a WaveNet FP32 inference model package optimized with TensorFlow* for bare metal.