End-to-End Samples for the Intel AI Tools

The Intel AI Tools give data scientists, AI developers, and researchers familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel® architectures. The components are built using oneAPI libraries for low-level compute optimizations.

The Intel AI Tools maximize performance from preprocessing through machine learning, and provide interoperability for efficient model development.

You can find more information at Intel AI Tools.

End-to-end Samples

AI Tools preset bundle	Components	Folder	Description
Deep Learning	Intel® Extension for PyTorch (IPEX), Intel® Neural Compressor (INC)	LanguageIdentification	Trains a model to perform language identification using the Hugging Face Speechbrain library and CommonVoice dataset, and optimized with Intel® Extension for PyTorch and Intel® Neural Compressor (INC).
Inference Optimization	Intel® Distribution of OpenVINO™ toolkit	LidarObjectDetection-PointPillars	Performs 3D object detection and classification using point cloud data from a LIDAR sensor as input.

License

Code samples are licensed under the MIT license. See License.txt for details.

Third-party program Licenses can be found here: third-party-programs.txt.

*Other names and brands may be claimed as the property of others. Trademarks