Get Started
The following instructions assume you have installed the Intel® oneAPI software. Please see the Intel AI Analytics Toolkit page for installation options.
Follow these steps to build and run a sample with the Intel® AI Analytics Toolkit (AI Kit):
No special modifications to your existing projects are required to start using them with this toolkit.
The AI Kit includes:
| Component Name | Package Name | Platform | Channel |
| Intel® Distribution for Python*: Get faster Python application performance right out of the box, with minimal or no changes to your code. This distribution is integrated with Intel® Performance Libraries such as the Intel® oneAPI Math Kernel Libraryand the Intel®oneAPI Data Analytics Library |
intelpython3_full |
win |
intel |
| Intel® Distribution of Modin* | modin-ray |
win |
anaconda |
| Intel® Neural Compressor*: Quickly deploy low-precision inference solutions on popular deep-learning frameworks such as TensorFlow*, PyTorch*, MXNet*, and ONNX* (Open Neural Network Exchange) runtime. |
neural-compressor |
win |
intel |
| Intel® Optimization for PyTorch*: | pytorch (include -c pytorch on your command line) |
win |
pytorch |
| Intel® Optimization for TensorFlow*: | tensorflow |
win |
anaconda |