numba-dpex
Data Parallel Extension for Numba (by IntelPython)
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application (by intel)
| numba-dpex | scikit-learn-intelex | |
|---|---|---|
| 1 | 3 | |
| 69 | 1,161 | |
| - | 1.1% | |
| 9.8 | 9.5 | |
| 3 days ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
numba-dpex
Posts with mentions or reviews of numba-dpex.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-01.
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Intel Extension for Scikit-Learn
> Intel are focused on data-parallel C++ for delivering high performance, rightly or wrongly.
They also invest efforts in making it possible to write high performance kernels in Python using an extension to the numba Python compiler:
https://github.com/IntelPython/numba-dppy
scikit-learn-intelex
Posts with mentions or reviews of scikit-learn-intelex.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-25.
- Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
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Improving xgb prediction times on a single core
I can recommend https://github.com/intel/scikit-learn-intelex. We have been using this and it works great. The prediction time is greatly reduced and it has been running very stable. It's super easy to install and convert the trained XGB models to this Intel format.
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Intel Extension for Scikit-Learn
Looks 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.