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Get advanced instruction in AI design using FPGA devices with the Intel® SDK for OpenCL™ applications.

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

Use TensorFlow* performance Jupyter* notebooks to analyze the performance benefit of Intel® Optimizations for TensorFlow*.

Use this container to preprocess the COCO validation dataset before running inference with TensorFlow* models.

Intel® Extension for PyTorch*

This container contains PyTorch*, Intel® Extension for PyTorch*, and torchvision 0.6.

TensorFlow* and Intel® oneAPI Deep Neural Network Library (oneDNN) , Scikit-learn*, and Intel® Distribution for Python*.

Scikit-learn* with Intel® oneAPI Data Analytics Library (oneDAL) and a set of Python* modules for machine learning and data mining.

XGBoost

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

These are Optimized Analytics Package (OAP) Docker* images working with Kubernetes* cluster.

Deep Learning Inference

Develop and deploy applications quickly with the lowest deterministic latency on a real-time performance platform.

AI Courses

Access courses from Intel on AI that provide a foundation for software developers, data scientists, and students.

Intel® AI Academy

This library of AI training and resources is available for developers, data scientists, students, and professors.