Intel Python
Pinned repositories
Repositories
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numba-dppy
numba + dpPy + dpCtl + dpNP = numba-dppy
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dpctl
A library exposing a lightweight C-API for SYCL to use in Python applications including Numba.
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daal4py
sources for daal4py - a convenient Python API to oneDAL
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sdc
Intel® Scalable Dataframe Compiler for Pandas*
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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.
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scikit-ipp
A standalone package, provided scikit-image-like API to Intel® IPP
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mkl_random
Python interface to Intel(R) Math Kernel Library's random number generation functionality
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dpbench
Applications to evaluate Numba-DPPY
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bearysta
Pandas-based statistics aggregation tool
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Rodinia_SYCL
Forked from zjin-lcf/Rodinia_SYCL -
container-images
Dockerfiles for building docker images
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Numba_Extension_Proposals
The repository contains the proposal to add a new automatic offload feature to Numba
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smp
Static partitioning and thread affinity for nestable Symmetric Multi-Processing
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intel_repack-feedstock
Forked from conda-forge/intel_repack-feedstockA conda-smithy repository for intel_repack.
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source-publish
Sources used in Intel Python that have a license that requires publication: GPL, LGPL, MPL
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sdc-doc
Documentation pages for SDC.
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mkl-service
Python hooks for Intel(R) Math Kernel Library runtime control settings.
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ibench
Benchmarks for python
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BlackScholes_bench
Benchmark computing Black Scholes formula using different technologies
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optimizations_bench
Collection of performance benchmarks used to present optimizations implemented for Intel(R) Distribution for Python*
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scikit-learn-bench-contrib
Forked from jeremiedbb/scikit-learn_benchmarksBenchmark suite for scikit-learn performances
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virtual_machine_image_recipes
Packer build templates to create Virtual Machine Images with the Intel® Distribution for Python* built-in.
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composability_bench
Show effects of over-subscription and ways to fix that
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workshop
Getting Python Performance with Intel(R) Distribution for Python