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.
| AI Tools preset bundle | Components | Folder | Description |
|---|---|---|---|
| Classical Machine Learning | Intel® Distribution of Modin* Intel® oneAPI Data Analytics Library (oneDAL) IDP |
Census | Use Intel® Distribution of Modin* to ingest and process U.S. census data from 1970 to 2010 in order to build a ridge regression based model to find the relation between education and the total income earned in the US. |
| 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. |
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