AI Tools

The AI Tools gives 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. This toolkit maximizes performance from preprocessing through machine learning, and provides interoperability for efficient model development.

You can find more information at AI Tools.

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

AI Samples

Type	Folder	Description
Component	Getting-Started-Samples	Getting Started Samples for components in AI Tools.
Component & Segment	Features-and-Functionality	Demonstrate features from components like Int8 inference in Intel® Reference Models.
Reference	End-to-end-Workloads	AI End-to-end reference workloads with real world data.

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