intelpython

Automation tools for IntelPython projects

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

Python interface to Intel(R) Math Kernel Library's random number generation functionality

Python hooks for Intel® oneAPI Math Kernel Library (oneMKL) runtime control settings.

Python SYCL bindings and SYCL-based Python Array API library

Conda recipe for intel-gpu-ocl-icd-system conda package

Package implementing NumPy's UFuncs based on SVML and MKL VML

NumPy-based Python interface to Intel® oneAPI Math Kernel Library (oneMKL) Fourier Transform Functions

Data Parallel Extension for NumPy

docker file of a Python environment for developing machine learning projects

Benchmark suite to evaluate Data Parallel Extensions for Python