HAhamilyon2·Sep 20, 2024
There is a bit similar project which supports Intel GPU offloading: https://github.com/intel/scikit-learn-intelex
In CuPy: NumPy and SciPy for GPUuxlfoundation
scikit-learn-intelex
Python2021–2024
uxlfoundation / scikit-learn-intelex
scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
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| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
5 sourcesA drop in replacement for a large part of sklearn for Intel CPUs: https://github.com/intel/scikit-learn-intelex
In Machine Learning with PyTorch and Scikit-Learnhttps://github.com/intel/scikit-learn-intelex
CuML is similar to Intel Extension for Scikit-Learn in function?
https://github.com/rapidsai/cuml
> cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU equivalents. For details on performance, see the cuML Benchmarks Notebook.
In Intel Extension for Scikit-LearnLooks like they are responding to https://github.com/intel/scikit-learn-intelex#-acceleration
I completely agree. I hope some Intel competitor funds a scikit-learn developer to read this code and extract all the portable performance improvements.
In Intel Extension for Scikit-LearnI am busy installing it now.
Anaconda should take care of required packages? I am not actually sure.
Seems to be working.
Intel(R) Extension for Scikit-learn* enabled (https://github.com/intel/scikit-learn-intelex)
In Intel Extension for Scikit-Learn