AlgorithmsAndDataStructure
scikit-learn-intelex
| AlgorithmsAndDataStructure | scikit-learn-intelex | |
|---|---|---|
| 1 | 3 | |
| 691 | 1,161 | |
| - | 1.1% | |
| 5.5 | 9.5 | |
| over 1 year ago | 6 days ago | |
| C++ | Python | |
| MIT License | Apache License 2.0 |
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AlgorithmsAndDataStructure
scikit-learn-intelex
- 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.
What are some alternatives?
algoexpert-data-structures-algorithms - A collection of solutions for all problem statements on the AlgoExpert Coding Interview platform.
cuml - cuML - RAPIDS Machine Learning Library
Data-Structures-and-Algorithms-Python - All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.
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
binarytree - Python Library for Studying Binary Trees
xgb_vs_lightgbm - comparison of prediction times
Basic-Algorithms - Basic algorithms and data structures written in different programming languages
eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Wizium - Insanely fast crossword generator
scikit-learn - scikit-learn: machine learning in Python
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification