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.
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
| 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