Pinned Repositories
container-images
Dockerfiles for building docker images
dpctl
Python SYCL bindings and SYCL-based Python Array API library
DPEP
Data Parallel Extensions for Python*
dpnp
Data Parallel Extension for NumPy
mkl-service
Python hooks for Intel® oneAPI Math Kernel Library (oneMKL) runtime control settings.
mkl_fft
NumPy-based Python interface to Intel® oneAPI Math Kernel Library (oneMKL) Fourier Transform Functions
mkl_random
Python interface to Intel(R) Math Kernel Library's random number generation functionality
numba-dpex
Data Parallel Extension for Numba
scikit-learn_bench
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.
sdc
Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler
Intel Python's Repositories
IntelPython/dpnp
Data Parallel Extension for NumPy
IntelPython/scikit-learn_bench
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.
IntelPython/dpctl
Python SYCL bindings and SYCL-based Python Array API library
IntelPython/numba-dpex
Data Parallel Extension for Numba
IntelPython/mkl-service
Python hooks for Intel® oneAPI Math Kernel Library (oneMKL) runtime control settings.
IntelPython/mkl_fft
NumPy-based Python interface to Intel® oneAPI Math Kernel Library (oneMKL) Fourier Transform Functions
IntelPython/DPEP
Data Parallel Extensions for Python*
IntelPython/container-images
Dockerfiles for building docker images
IntelPython/ibench
Benchmarks for python
IntelPython/mkl_random
Python interface to Intel(R) Math Kernel Library's random number generation functionality
IntelPython/dpbench
Benchmark suite to evaluate Data Parallel Extensions for Python
IntelPython/BlackScholes_bench
Benchmark computing Black Scholes formula using different technologies
IntelPython/smp
Static partitioning and thread affinity for nestable Symmetric Multi-Processing
IntelPython/source-publish
Sources used in Intel Python that have a license that requires publication: GPL, LGPL, MPL
IntelPython/bearysta
Pandas-based statistics aggregation tool
IntelPython/fft_benchmark
IntelPython/mkl_umath
Package implementing NumPy's UFuncs based on SVML and MKL VML
IntelPython/optimizations_bench
Collection of performance benchmarks used to present optimizations implemented for Intel(R) Distribution for Python*
IntelPython/xgboost_oneapi
Fork with oneAPI support for XGBoost
IntelPython/sample-data-parallel-extensions
Sample data parallel extensions built with oneAPI DPC++
IntelPython/sharded-array-for-python
IntelPython/devops-tools
Automation tools for IntelPython projects
IntelPython/example-portable-data-parallel-extensions
Examples of portable data-parallel Python extensions using oneAPI DPC++
IntelPython/portable-data-parallel-extensions-scipy-2024
Website for "Portable Data Parallel Extensions with oneAPI" poster at SciPy 2024
IntelPython/dpcpp-llvm-spirv
Python package to vendor oneAPI DPC++'s llvm-spirv executable for use by numba-dpex
IntelPython/.github
IntelPython/intel-gpu-ocl-icd-system-feedstock
Conda recipe for intel-gpu-ocl-icd-system conda package
IntelPython/intelpython.github.io
IntelPython/portable-data-parallel-extensions-europython-2025
Website for "Portable Data Parallel Extensions with oneAPI" poster at EuroPython 2025
IntelPython/Profiling_Guide