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sdc
Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compilerscikit-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.dpctl
Python SYCL bindings and SYCL-based Python Array API librarynumba-dpex
Data Parallel Extension for Numbadpnp
Data Parallel Extension for NumPymkl-service
Python hooks for Intel(R) Math Kernel Library runtime control settings.mkl_fft
NumPy-based Python interface to Intel (R) MKL FFT functionalitycontainer-images
Dockerfiles for building docker imagesibench
Benchmarks for pythonDPEP
Data Parallel Extensions for Python*examples
Examples and sample code showcasing features of the Intel(R) Distribution for Pythonmkl_random
Python interface to Intel(R) Math Kernel Library's random number generation functionalitydpbench
Benchmark suite to evaluate Data Parallel Extensions for Pythonworkshop
Getting Python Performance with Intel(R) Distribution for Pythonsmp
Static partitioning and thread affinity for nestable Symmetric Multi-ProcessingBlackScholes_bench
Benchmark computing Black Scholes formula using different technologiessource-publish
Sources used in Intel Python that have a license that requires publication: GPL, LGPL, MPLDPPY-Spec
Draft specifications of DPPYscikit-ipp
Scikit-image like API to Intel® IPPfft_benchmark
optimizations_bench
Collection of performance benchmarks used to present optimizations implemented for Intel(R) Distribution for Python*bearysta
Pandas-based statistics aggregation toolsharded-array-for-python
oneAPI-for-SciPy
"oneAPI for Scientific Python Community" virtual poster at SciPy 2022sample-data-parallel-extensions
Sample data parallel extensions built with oneAPI DPC++sdc-doc
Documentation pages for SDC.example-portable-data-parallel-extensions
Examples of portable data-parallel Python extensions using oneAPI DPC++Love Open Source and this site? Check out how you can help us