scikit-learn-intelex
numba-dpex
scikit-learn-intelex | numba-dpex | |
---|---|---|
3 | 1 | |
1,161 | 69 | |
1.1% | - | |
9.5 | 9.8 | |
4 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
scikit-learn-intelex
- Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
-
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.
-
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.
numba-dpex
-
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
What are some alternatives?
cuml - cuML - RAPIDS Machine Learning Library
pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
xgb_vs_lightgbm - comparison of prediction times
scikit-learn - scikit-learn: machine learning in Python
AlgorithmsAndDataStructure - Algorithms And DataStructure Implemented In Python, Java & CPP, Give a Star 🌟If it helps you
awkward - Manipulate JSON-like data with NumPy-like idioms.
eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
CyberRadio - 📻 An SDR Based FM/AM Radio For Desktop. Accelerated with #cuSignal and Numba.